Issues closed in the 0.6.0 development cycle

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