Issues closed in the 0.6 development cycle¶
Issues closed in 0.6.1¶
GitHub stats for bugfix release 0.6.1 (2014/11/05 - 2014/12/02), backporting pull requests from 0.7.
We closed a total of 15 issues, 8 pull requests and 7 regular issues;
this is the full list (generated with the script
tools/github_stats.py
):
These lists are automatically generated, and may be incomplete or contain duplicates.
Pull Requests (8):
- PR #2111: Mixed profile
- PR #2053: Add NominalGEE and OrdinalGEE to api
- PR #2105: BUG: Avoid returning nans in lowess.
- PR #2066: fixes #2065 (missing np)
- PR #2089: BUG: Fix pos. def check in logdet
- PR #2097: BUG: Make sure RE names are properly handled in MixedLM.
- PR #2093: Add user control over what happens if a constant is already present.
- PR #2084: BUG: Correct issue if patsy handles missing. Closes #2083.
Issues (7):
- #2102: MixedLM profile likelihood issue
- #1798: lowess silently returns nans
- #2065: In tukey_hsd.plot_simultaneous - “ones” not defined.
- #2087: slogdet positive-definite check is wrong
- #2099: Error in accessing mixedlm results with random slopes
- #2043: ValueError on tsa with constant column
- #2083: BUG: rlm errors on missing values
Issues closed in 0.6.0¶
GitHub stats for 2013/08/14 - 2014/10/15 (tag: v0.5.0)
We closed a total of 528 issues, 276 pull requests and 252 regular issues;
this is the full list (generated with the script tools/github_stats.py
):
This list is automatically generated and may be incomplete.
Pull Requests (276):
- PR #2044: ENH: Allow unit interval for binary models. Closes #2040.
- PR #1426: ENH: Import arima_process stuff into tsa.api
- PR #2042: Fix two minor typos in contrast.py
- PR #2034: ENH: Handle missing for extra data with formulas
- PR #2035: MAINT: Remove deprecated code for 0.6
- PR #1325: ENH: add the Edgeworth expansion based on the normal distribution
- PR #2032: DOC: What it is what it is.
- PR #2031: ENH: Expose patsy eval_env to users.
- PR #2028: ENH: Fix numerical issues in links and families.
- PR #2029: DOC: Fix versions to match other docs.
- PR #1647: ENH: Warn on non-convergence.
- PR #2014: BUG: Fix forecasting for ARIMA with d == 2
- PR #2013: ENH: Better error message on object dtype
- PR #2012: BUG: 2d 1 columns -> 1d. Closes #322.
- PR #2009: DOC: Update after refactor. Use code block.
- PR #2008: ENH: Add wrapper for MixedLM
- PR #1954: ENH: PHReg formula improvements
- PR #2007: BLD: Fix build issues
- PR #2006: BLD: Do not generate cython on clean. Closes #1852.
- PR #2000: BLD: Let pip/setuptools handle dependencies that aren’t installed at all.
- PR #1999: Gee offset exposure 1994 rebased
- PR #1998: BUG/ENH Lasso emptymodel rebased
- PR #1989: BUG/ENH: WLS generic robust cov_type didn’t use whitened,
- PR #1587: ENH: Wrap X12/X13-ARIMA AUTOMDL. Closes #442.
- PR #1563: ENH: Add plot_predict method to ARIMA models.
- PR #1995: BUG: Fix issue #1993
- PR #1981: ENH: Add api for covstruct. Clear __init__. Closes #1917.
- PR #1996: DEV: Ignore .venv file.
- PR #1982: REF: Rename jac -> score_obs. Closes #1785.
- PR #1987: BUG tsa pacf, base bootstrap
- PR #1986: Bug multicomp 1927 rebased
- PR #1984: Docs add gee.rst
- PR #1985: Bug uncentered latex table 1929 rebased
- PR #1983: BUG: Fix compat asunicode
- PR #1574: DOC: Fix math.
- PR #1980: DOC: Documentation fixes
- PR #1974: REF/Doc beanplot change default color, add notebook
- PR #1978: ENH: Check input to binary models
- PR #1979: BUG: Typo
- PR #1976: ENH: Add _repr_html_ to SimpleTable
- PR #1977: BUG: Fix import refactor victim.
- PR #1975: BUG: Yule walker cast to float
- PR #1973: REF: Move and expose webuse
- PR #1972: TST: Add testing against NumPy 1.9 and matplotlib 1.4
- PR #1939: ENH: Binstar build files
- PR #1952: REF/DOC: Misc
- PR #1940: REF: refactor and speedup of mixed LME
- PR #1937: ENH: Quick access to online documentation
- PR #1942: DOC: Rename Change README type to rst
- PR #1938: ENH: Enable Python 3.4 testing
- PR #1924: Bug gee cov type 1906 rebased
- PR #1870: robust covariance, cov_type in fit
- PR #1859: BUG: Don’t use negative indexing with k_ar == 0. Closes #1858.
- PR #1914: BUG: LikelihoodModelResults.pvalues use df_resid_inference
- PR #1899: TST: fix assert_equal for pandas index
- PR #1895: Bug multicomp pandas
- PR #1894: BUG fix more ix indexing cases for pandas compat
- PR #1889: BUG: fix ytick positions closes #1561
- PR #1887: Bug pandas compat asserts
- PR #1888: TST test_corrpsd Test_Factor: add noise to data
- PR #1886: BUG pandas 0.15 compatibility in grouputils labels
- PR #1885: TST: corr_nearest_factor, more informative tests
- PR #1884: Fix: Add compat code for pd.Categorical in pandas>=0.15
- PR #1883: BUG: add _ctor_param to TransfGen distributions
- PR #1872: TST: fix _infer_freq for pandas .14+ compat
- PR #1867: Ref covtype fit
- PR #1865: Disable tst distribution 1864
- PR #1856: _spg_optim returns history of objective function values
- PR #1854: BLD: Don’t hard-code path for building notebooks. Closes #1249
- PR #1851: MAINT: Cor nearest factor tests
- PR #1847: Newton regularize
- PR #1623: BUG Negbin fit regularized
- PR #1797: BUG/ENH: fix and improve constant detection
- PR #1770: TST: anova with -1 noconstant, add tests
- PR #1837: Allow group variable to be passed as variable name when using formula
- PR #1839: BUG: GEE score
- PR #1830: BUG/ENH Use t
- PR #1832: TST error with scipy 0.14 location distribution class
- PR #1827: fit_regularized for linear models rebase 1674
- PR #1825: Phreg 1312 rebased
- PR #1826: Lme api docs
- PR #1824: Lme profile 1695 rebased
- PR #1823: Gee cat subclass 1694 rebase
- PR #1781: ENH: Glm add score_obs
- PR #1821: Glm maint #1734 rebased
- PR #1820: BUG: revert change to conf_int in PR #1819
- PR #1819: Docwork
- PR #1772: REF: cov_params allow case of only cov_params_default is defined
- PR #1771: REF numpy >1.9 compatibility, indexing into empty slice closes #1754
- PR #1769: Fix ttest 1d
- PR #1766: TST: TestProbitCG increase bound for fcalls closes #1690
- PR #1709: BLD: Made build extensions more flexible
- PR #1714: WIP: fit_constrained
- PR #1706: REF: Use fixed params in test. Closes #910.
- PR #1701: BUG: Fix faulty logic. Do not raise when missing=’raise’ and no missing data.
- PR #1699: TST/ENH StandardizeTransform, reparameterize TestProbitCG
- PR #1697: Fix for statsmodels/statsmodels#1689
- PR #1692: OSL Example: redundant cell in example removed
- PR #1688: Kshedden mixed rebased of #1398
- PR #1629: Pull request to fix bandwidth bug in issue 597
- PR #1666: Include pyx in sdist but don’t install
- PR #1683: TST: GLM shorten random seed closes #1682
- PR #1681: Dotplot kshedden rebased of 1294
- PR #1679: BUG: Fix problems with predict handling offset and exposure
- PR #1677: Update docstring of RegressionModel.predict()
- PR #1635: Allow offset and exposure to be used together with log link; raise excep...
- PR #1676: Tests for SVAR
- PR #1671: ENH: avoid hard-listed bandwidths – use present dictionary (+typos fixed)
- PR #1643: Allow matrix structure in covariance matrices to be exploited
- PR #1657: BUG: Fix refactor victim.
- PR #1630: DOC: typo, “interecept”
- PR #1619: MAINT: Dataset docs cleanup and automatic build of docs
- PR #1612: BUG/ENH Fix negbin exposure #1611
- PR #1610: BUG/ENH fix llnull, extra kwds to recreate model
- PR #1582: BUG: wls_prediction_std fix weight handling, see 987
- PR #1613: BUG: Fix proportions allpairs #1493
- PR #1607: TST: adjust precision, CI Debian, Ubuntu testing
- PR #1603: ENH: Allow start_params in GLM
- PR #1600: CLN: Regression plots fixes
- PR #1592: DOC: Additions and fixes
- PR #1520: CLN: Refactored so that there is no longer a need for 2to3
- PR #1585: Cor nearest 1384 rebased
- PR #1553: Gee maint 1528 rebased
- PR #1583: BUG: For ARMA(0,0) ensure 1d bse and fix summary.
- PR #1580: DOC: Fix links. [skip ci]
- PR #1572: DOC: Fix link title [skip ci]
- PR #1566: BLD: Fix copy paste path error for >= 3.3 Windows builds
- PR #1524: ENH: Optimize Cython code. Use scipy blas function pointers.
- PR #1560: ENH: Allow ARMA(0,0) in order selection
- PR #1559: MAINT: Recover lost commits from vbench PR
- PR #1554: Silenced test output introduced in medcouple
- PR #1234: ENH: Robust skewness, kurtosis and medcouple measures
- PR #1484: ENH: Add naive seasonal decomposition function
- PR #1551: COMPAT: Fix failing test on Python 2.6
- PR #1472: ENH: using human-readable group names instead of integer ids in MultiComparison
- PR #1437: ENH: accept non-int definitions of cluster groups
- PR #1550: Fix test gmm poisson
- PR #1549: TST: Fix locally failing tests.
- PR #1121: WIP: Refactor optimization code.
- PR #1547: COMPAT: Correct bit_length for 2.6
- PR #1545: MAINT: Fix missed usage of deprecated tools.rank
- PR #1196: REF: ensure O(N log N) when using fft for acf
- PR #1154: DOC: Add links for build machines.
- PR #1546: DOC: Fix link to wrong notebook
- PR #1383: MAINT: Deprecate rank in favor of np.linalg.matrix_rank
- PR #1432: COMPAT: Add NumpyVersion from scipy
- PR #1438: ENH: Option to avoid “center” environment.
- PR #1544: BUG: Travis miniconda
- PR #1510: CLN: Improve warnings to avoid generic warnings messages
- PR #1543: TST: Suppress RuntimeWarning for L-BFGS-B
- PR #1507: CLN: Silence test output
- PR #1540: BUG: Correct derivative for exponential transform.
- PR #1536: BUG: Restores coveralls for a single build
- PR #1535: BUG: Fixes for 2.6 test failures, replacing astype(str) with apply(str)
- PR #1523: Travis miniconda
- PR #1533: DOC: Fix link to code on github
- PR #1531: DOC: Fix stale links with linkcheck
- PR #1530: DOC: Fix link
- PR #1527: DOCS: Update docs add FAQ page
- PR #1525: DOC: Update with Python 3.4 build notes
- PR #1518: DOC: Ask for release notes and example.
- PR #1516: DOC: Update examples contributing docs for current practice.
- PR #1517: DOC: Be clear about data attribute of Datasets
- PR #1515: DOC: Fix broken link
- PR #1514: DOC: Fix formula import convention.
- PR #1506: BUG: Format and decode errors in Python 2.6
- PR #1505: TST: Test co2 load_data for Python 3.
- PR #1504: BLD: New R versions require NAMESPACE file. Closes #1497.
- PR #1483: ENH: Some utility functions for working with dates
- PR #1482: REF: Prefer filters.api to __init__
- PR #1481: ENH: Add weekly co2 dataset
- PR #1474: DOC: Add plots for standard filter methods.
- PR #1471: DOC: Fix import
- PR #1470: DOC/BLD: Log code exceptions from nbgenerate
- PR #1469: DOC: Fix bad links
- PR #1468: MAINT: CSS fixes
- PR #1463: DOC: Remove defunct argument. Change default kw. Closes #1462.
- PR #1452: STY: import pandas as pd
- PR #1458: BUG/BLD: exclude sandbox in relative path, not absolute
- PR #1447: DOC: Only build and upload docs if we need to.
- PR #1445: DOCS: Example landing page
- PR #1436: DOC: Fix auto doc builds.
- PR #1431: DOC: Add default for getenv. Fix paths. Add print_info
- PR #1429: MAINT: Use ip_directive shipped with IPython
- PR #1427: TST: Make tests fit quietly
- PR #1424: ENH: Consistent results for transform_slices
- PR #1421: ENH: Add grouping utilities code
- PR #1419: Gee 1314 rebased
- PR #1414: TST temporarily rename tests probplot other to skip them
- PR #1403: Bug norm expan shapes
- PR #1417: REF: Let subclasses keep kwds attached to data.
- PR #1416: ENH: Make handle_data overwritable by subclasses.
- PR #1410: ENH: Handle missing is none
- PR #1402: REF: Expose missing data handling as classmethod
- PR #1387: MAINT: Fix failing tests
- PR #1406: MAINT: Tools improvements
- PR #1404: Tst fix genmod link tests
- PR #1396: REF: Multipletests reduce memory usage
- PR #1380: DOC :Update vector_ar.rst
- PR #1381: BLD: Don’t check dependencies on egg_info for pip. Closes #1267.
- PR #1302: BUG: Fix typo.
- PR #1375: STY: Remove unused imports and comment out unused libraries in setup.py
- PR #1143: DOC: Update backport notes for new workflow.
- PR #1374: ENH: Import tsaplots into tsa namespace. Closes #1359.
- PR #1369: STY: Pep-8 cleanup
- PR #1370: ENH: Support ARMA(0,0) models.
- PR #1368: STY: Pep 8 cleanup
- PR #1367: ENH: Make sure mle returns attach to results.
- PR #1365: STY: Import and pep 8 cleanup
- PR #1364: ENH: Get rid of hard-coded lbfgs. Closes #988.
- PR #1363: BUG: Fix typo.
- PR #1361: ENH: Attach mlefit to results not model.
- PR #1360: ENH: Import adfuller into tsa namespace
- PR #1346: STY: PEP-8 Cleanup
- PR #1344: BUG: Use missing keyword given to ARMA.
- PR #1340: ENH: Protect against ARMA convergence failures.
- PR #1334: ENH: ARMA order select convenience function
- PR #1339: Fix typos
- PR #1336: REF: Get rid of plain assert.
- PR #1333: STY: __all__ should be after imports.
- PR #1332: ENH: Add Bunch object to tools.
- PR #1331: ENH: Always use unicode.
- PR #1329: BUG: Decode metadata to utf-8. Closes #1326.
- PR #1330: DOC: Fix typo. Closes #1327.
- PR #1185: Added support for pandas when pandas was installed directly from git trunk
- PR #1315: MAINT: Change back to path for build box
- PR #1305: TST: Update hard-coded path.
- PR #1290: ENH: Add seasonal plotting.
- PR #1296: BUG/TST: Fix ARMA forecast when start == len(endog). Closes #1295
- PR #1292: DOC: cleanup examples folder and webpage
- PR #1286: Make sure PeriodIndex passes through tsa. Closes #1285.
- PR #1271: Silverman enhancement - Issue #1243
- PR #1264: Doc work GEE, GMM, sphinx warnings
- PR #1179: REF/TST: ProbPlot now uses resettable_cache and added some kwargs to plotting fxns
- PR #1225: Sandwich mle
- PR #1258: Gmm new rebased
- PR #1255: ENH add GEE to genmod
- PR #1254: REF: Results.predict convert to array and adjust shape
- PR #1192: TST: enable tests for llf after change to WLS.loglike see #1170
- PR #1253: Wls llf fix
- PR #1233: sandbox kernels bugs uniform kernel and confint
- PR #1240: Kde weights 1103 823
- PR #1228: Add default value tags to adfuller() docs
- PR #1198: fix typo
- PR #1230: BUG: numerical precision in resid_pearson with perfect fit #1229
- PR #1214: Compare lr test rebased
- PR #1200: BLD: do not install *.pyx *.c MANIFEST.in
- PR #1202: MAINT: Sort backports to make applying easier.
- PR #1157: Tst precision master
- PR #1161: add a fitting interface for simultaneous log likelihood and score, for lbfgs, tested with MNLogit
- PR #1160: DOC: update scipy version from 0.7 to 0.9.0
- PR #1147: ENH: add lbfgs for fitting
- PR #1156: ENH: Raise on 0,0 order models in AR(I)MA. Closes #1123
- PR #1149: BUG: Fix small data issues for ARIMA.
- PR #1092: Fixed duplicate svd in RegressionModel
- PR #1139: TST: Silence tests
- PR #1135: Misc style
- PR #1088: ENH: add predict_prob to poisson
- PR #1125: REF/BUG: Some GLM cleanup. Used trimmed results in NegativeBinomial variance.
- PR #1124: BUG: Fix ARIMA prediction when fit without a trend.
- PR #1118: DOC: Update gettingstarted.rst
- PR #1117: Update ex_arma2.py
- PR #1107: REF: Deprecate stand_mad. Add center keyword to mad. Closes #658.
- PR #1089: ENH: exp(poisson.logpmf()) for poisson better behaved.
- PR #1077: BUG: Allow 1d exog in ARMAX forecasting.
- PR #1075: BLD: Fix build issue on some versions of easy_install.
- PR #1071: Update setup.py to fix broken install on OSX
- PR #1052: DOC: Updating contributing docs
- PR #1136: RLS: Add IPython tools for easier backporting of issues.
- PR #1091: DOC: minor git typo
- PR #1082: coveralls support
- PR #1072: notebook examples title cell
- PR #1056: Example: reg diagnostics
- PR #1057: COMPAT: Fix py3 caching for get_rdatasets.
- PR #1045: DOC/BLD: Update from nbconvert to IPython 1.0.
- PR #1026: DOC/BLD: Add LD_LIBRARY_PATH to env for docs build.
Issues (252):
- #2040: enh: fractional Logit, Probit
- #1220: missing in extra data (example sandwiches, robust covariances)
- #1877: error with GEE on missing data.
- #805: nan with categorical in formula
- #2036: test in links require exact class so Logit can’t work in place of logit
- #2010: Go over deprecations again for 0.6.
- #1303: patsy library not automatically installed
- #2024: genmod Links numerical improvements
- #2025: GEE requires exact import for cov_struct
- #2017: Matplotlib warning about too many figures
- #724: check warnings
- #1562: ARIMA forecasts are hard-coded for d=1
- #880: DataFrame with bool type not cast correctly.
- #1992: MixedLM style
- #322: acf / pacf do not work on pandas objects
- #1317: AssertionError: attr is not equal [dtype]: dtype(‘object’) != dtype(‘datetime64[ns]’)
- #1875: dtype bug object arrays (raises in clustered standard errors code)
- #1842: dtype object, glm.fit() gives AttributeError: sqrt
- #1300: Doc errors, missing
- #1164: RLM cov_params, t_test, f_test don’t use bcov_scaled
- #1019: 0.6.0 Roadmap
- #554: Prediction Standard Errors
- #333: ENH tools: squeeze in R export file
- #1990: MixedLM does not have a wrapper
- #1897: Consider depending on setuptools in setup.py
- #2003: pip install now fails silently
- #1852: do not cythonize when cleaning up
- #1991: GEE formula interface does not take offset/exposure
- #442: Wrap x-12 arima
- #1993: MixedLM bug
- #1917: API: GEE access to genmod.covariance_structure through api
- #1785: REF: rename jac -> score_obs
- #1969: pacf has incorrect standard errors for lag 0
- #1434: A small bug in GenericLikelihoodModelResults.bootstrap()
- #1408: BUG test failure with tsa_plots
- #1337: DOC: HCCM are now available for WLS
- #546: influence and outlier documentation
- #1532: DOC: Related page is out of date
- #1386: Add minimum matplotlib to docs
- #1068: DOC: keeping documentation of old versions on sourceforge
- #329: link to examples and datasets from module pages
- #1804: PDF documentation for statsmodels
- #202: Extend robust standard errors for WLS/GLS
- #1519: Link to user-contributed examples in docs
- #1053: inconvenient: logit when endog is (1,2) instead of (0,1)
- #1555: SimpleTable: add repr html for ipython notebook
- #1366: Change default start_params to .1 in ARMA
- #1869: yule_walker (from statsmodels.regression) raises exception when given an integer array
- #1651: statsmodels.tsa.ar_model.ARResults.predict
- #1738: GLM robust sandwich covariance matrices
- #1779: Some directories under statsmodels dont have __init_.py
- #1242: No support for (0, 1, 0) ARIMA Models
- #1571: expose webuse, use cache
- #1860: ENH/BUG/DOC: Bean plot should allow for separate widths of bean and violins.
- #1831: TestRegressionNM.test_ci_beta2 i386 AssertionError
- #1079: bugfix release 0.5.1
- #1338: Raise Warning for HCCM use in WLS/GLS
- #1430: scipy min version / issue
- #276: memoize, last argument wins, how to attach sandwich to Results?
- #1943: REF/ENH: LikelihoodModel.fit optimization, make hessian optional
- #1957: BUG: Re-create OLS model using _init_keys
- #1905: Docs: online docs are missing GEE
- #1898: add python 3.4 to continuous integration testing
- #1684: BUG: GLM NegativeBinomial: llf ignores offset and exposure
- #1256: REF: GEE handling of default covariance matrices
- #1760: Changing covariance_type on results
- #1906: BUG: GEE default covariance is not used
- #1931: BUG: GEE subclasses NominalGEE don’t work with pandas exog
- #1904: GEE Results doesn’t have a Wrapper
- #1918: GEE: required attributes missing, df_resid
- #1919: BUG GEE.predict uses link instead of link.inverse
- #1858: BUG: arimax forecast should special case k_ar == 0
- #1903: BUG: pvalues for cluster robust, with use_t don’t use df_resid_inference
- #1243: kde silverman bandwidth for non-gaussian kernels
- #1866: Pip dependencies
- #1850: TST test_corr_nearest_factor fails on Ubuntu
- #292: python 3 examples
- #1868: ImportError: No module named compat [ from statsmodels.compat import lmap ]
- #1890: BUG tukeyhsd nan in group labels
- #1891: TST test_gmm outdated pandas, compat
- #1561: BUG plot for tukeyhsd, MultipleComparison
- #1864: test failure sandbox distribution transformation with scipy 0.14.0
- #576: Add contributing guidelines
- #1873: GenericLikelihoodModel is not picklable
- #1822: TST failure on Ubuntu pandas 0.14.0 , problems with frequency
- #1249: Source directory problem for notebook examples
- #1855: anova_lm throws error on models created from api.ols but not formula.api.ols
- #1853: a large number of hardcoded paths
- #1792: R² adjusted strange after including interaction term
- #1794: REF: has_constant, k_constant, include implicit constant detection in base
- #1454: NegativeBinomial missing fit_regularized method
- #1615: REF DRYing fit methods
- #1453: Discrete NegativeBinomialModel regularized_fit ValueError: matrices are not aligned
- #1836: BUG Got an TypeError trying to import statsmodels.api
- #1829: BUG: GLM summary show “t” use_t=True for summary
- #1828: BUG summary2 doesn’t propagate/use use_t
- #1812: BUG/ REF conf_int and use_t
- #1835: Problems with installation using easy_install
- #1801: BUG ‘f_gen’ missing in scipy 0.14.0
- #1803: Error revealed by numpy 1.9.0r1
- #1834: stackloss
- #1728: GLM.fit maxiter=0 incorrect
- #1795: singular design with offset ?
- #1730: ENH/Bug cov_params, generalize, avoid ValueError
- #1754: BUG/REF: assignment to slices in numpy >= 1.9 (emplike)
- #1409: GEE test errors on Debian Wheezy
- #1521: ubuntu failues: tsa_plot and grouputils
- #1415: test failure test_arima.test_small_data
- #1213: df_diff in anova_lm
- #1323: Contrast Results after t_test summary broken for 1 parameter
- #109: TestProbitCG failure on Ubuntu
- #1690: TestProbitCG: 8 failing tests (Python 3.4 / Ubuntu 12.04)
- #1763: Johansen method doesn’t give correct index values
- #1761: doc build failures: ipython version ? ipython directive
- #1762: Unable to build
- #1745: UnicodeDecodeError raised by get_rdataset(“Guerry”, “HistData”)
- #611: test failure foreign with pandas 0.7.3
- #1700: faulty logic in missing handling
- #1648: ProbitCG failures
- #1689: test_arima.test_small_data: SVD fails to converge (Python 3.4 / Ubuntu 12.04)
- #597: BUG: nonparametric: kernel, efficient=True changes bw even if given
- #1606: BUILD from sdist broken if cython available
- #1246: test failure test_anova.TestAnova2.test_results
- #50: t_test, f_test, model.py for normal instead of t-distribution
- #1655: newey-west different than R?
- #1682: TST test failure on Ubuntu, random.seed
- #1614: docstring for regression.linear_model.RegressionModel.predict() does not match implementation
- #1318: GEE and GLM scale parameter
- #519: L1 fit_regularized cleanup, comments
- #651: add structure to example page
- #1067: Kalman Filter convergence. How close is close enough?
- #1281: Newton convergence failure prints warnings instead of warning
- #1628: Unable to install statsmodels in the same requirements file as numpy, pandas, etc.
- #617: Problem in installing statsmodel in Fedora 17 64-bit
- #935: ll_null in likelihoodmodels discrete
- #704: datasets.sunspot: wrong link in description
- #1222: NegativeBinomial ignores exposure
- #1611: BUG NegativeBinomial ignores exposure and offset
- #1608: BUG: NegativeBinomial, llnul is always default ‘nb2’
- #1221: llnull with exposure ?
- #1493: statsmodels.stats.proportion.proportions_chisquare_allpairs has hardcoded value
- #1260: GEE test failure on Debian
- #1261: test failure on Debian
- #443: GLM.fit does not allow start_params
- #1602: Fitting GLM with a pre-assigned starting parameter
- #1601: Fitting GLM with a pre-assigned starting parameter
- #890: regression_plots problems (pylint) and missing test coverage
- #1598: Is “old” string formatting Python 3 compatible?
- #1589: AR vs ARMA order specification
- #1134: Mark knownfails
- #1259: Parameterless models
- #616: python 2.6, python 3 in single codebase
- #1586: Kalman Filter errors with new pyx
- #1565: build_win_bdist*_py3*.bat are using the wrong compiler
- #843: UnboundLocalError When trying to install OS X
- #713: arima.fit performance
- #367: unable to install on RHEL 5.6
- #1548: testtransf error
- #1478: is sm.tsa.filters.arfilter an AR filter?
- #1420: GMM poisson test failures
- #1145: test_multi noise
- #1539: NegativeBinomial strange results with bfgs
- #936: vbench for statsmodels
- #1153: Where are all our testing machines?
- #1500: Use Miniconda for test builds
- #1526: Out of date docs
- #1311: BUG/BLD 3.4 compatibility of cython c files
- #1513: build on osx -python-3.4
- #1497: r2nparray needs NAMESPACE file
- #1502: coveralls coverage report for files is broken
- #1501: pandas in/out in predict
- #1494: truncated violin plots
- #1443: Crash from python.exe using linear regression of statsmodels
- #1462: qqplot line kwarg is broken/docstring is wrong
- #1457: BUG/BLD: Failed build if “sandbox” anywhere in statsmodels path
- #1441: wls function: syntax error “unexpected EOF while parsing” occurs when name of dependent variable starts with digits
- #1428: ipython_directive doesn’t work with ipython master
- #1385: SimpleTable in Summary (e.g. OLS) is slow for large models
- #1399: UnboundLocalError: local variable ‘fittedvalues’ referenced before assignment
- #1377: TestAnova2.test_results fails with pandas 0.13.1
- #1394: multipletests: reducing memory consumption
- #1267: Packages cannot have both pandas and statsmodels in install_requires
- #1359: move graphics.tsa to tsa.graphics
- #356: docs take up a lot of space
- #988: AR.fit no precision options for fmin_l_bfgs_b
- #990: AR fit with bfgs: large score
- #14: arma with exog
- #1348: reset_index + set_index with drop=False
- #1343: ARMA doesn’t pass missing keyword up to TimeSeriesModel
- #1326: formula example notebook broken
- #1327: typo in docu-code for “Outlier and Influence Diagnostic Measures”
- #1309: Box-Cox transform (some code needed: lambda estimator)
- #1059: sm.tsa.ARMA making ma invertibility
- #1295: Bug in ARIMA forecasting when start is int len(endog) and dates are given
- #1285: tsa models fail on PeriodIndex with pandas
- #1269: KPSS test for stationary processes
- #1268: Feature request: Exponential smoothing
- #1250: DOCs error in var_plots
- #1032: Poisson predict breaks on list
- #347: minimum number of observations - document or check ?
- #1170: WLS log likelihood, aic and bic
- #1187: sm.tsa.acovf fails when both unbiased and fft are True
- #1239: sandbox kernels, problems with inDomain
- #1231: sandbox kernels confint missing alpha
- #1245: kernels cosine differs from Stata
- #823: KDEUnivariate with weights
- #1229: precision problems in degenerate case
- #1219: select_order
- #1206: REF: RegressionResults cov-HCx into cached attributes
- #1152: statsmodels failing tests with pandas master
- #1195: pyximport.install() before import api crash
- #1066: gmm.IV2SLS has wrong predict signature
- #1186: OLS when exog is 1d
- #1113: TST: precision too high in test_normality
- #1159: scipy version is still >= 0.7?
- #1108: SyntaxError: unqualified exec is not allowed in function ‘test_EvalEnvironment_capture_flag
- #1116: Typo in Example Doc?
- #1123: BUG : arima_model._get_predict_out_of_sample, ignores exogenous of there is no trend ?
- #1155: ARIMA - The computed initial AR coefficients are not stationary
- #979: Win64 binary can’t find Python installation
- #1046: TST: test_arima_small_data_bug on current master
- #1146: ARIMA fit failing for small set of data due to invalid maxlag
- #1081: streamline linear algebra for linear model
- #1138: BUG: pacf_yw doesn’t demean
- #1127: Allow linear link model with Binomial families
- #1122: no data cleaning for statsmodels.genmod.families.varfuncs.NegativeBinomial()
- #658: robust.mad is not being computed correctly or is non-standard definition; it returns the median
- #1076: Some issues with ARMAX forecasting
- #1073: easy_install sandbox violation
- #1115: EasyInstall Problem
- #1106: bug in robust.scale.mad?
- #1102: Installation Problem
- #1084: DataFrame.sort_index does not use ascending when then value is a list with a single element
- #393: marginal effects in discrete choice do not have standard errors defined
- #1078: Use pandas.version.short_version
- #96: deepcopy breaks on ResettableCache
- #1055: datasets.get_rdataset string decode error on python 3
- #46: tsa.stattools.acf confint needs checking and tests
- #957: ARMA start estimate with numpy master
- #62: GLSAR incorrect initial condition in whiten
- #1021: from_formula() throws error - problem installing
- #911: noise in stats.power tests
- #472: Update roadmap for 0.5
- #238: release 0.5
- #1006: update nbconvert to IPython 1.0
- #1038: DataFrame with integer names not handled in ARIMA
- #1036: Series no longer inherits from ndarray
- #1028: Test fail with windows and Anaconda - Low priority
- #676: acorr_breush_godfrey undefined nlags
- #922: lowess returns inconsistent with option
- #425: no bse in robust with norm=TrimmedMean
- #1025: add_constant incorrectly detects constant column