statsmodels.gam.smooth_basis.CyclicCubicSplines¶
- class statsmodels.gam.smooth_basis.CyclicCubicSplines(x, df, constraints=None, variable_names=None)[source]¶
additive smooth components using cyclic cubic regression splines
This spline basis is the same as in patsy.
- Parameters:
- xarray_like, 1-D or 2-D
underlying explanatory variable for smooth terms. If 2-dimensional, then observations should be in rows and explanatory variables in columns.
- df
int numer of basis functions or degrees of freedom
- constraints{
None,str,array} Constraints are used to transform the basis functions to satisfy those constraints.
- variable_names{
list[str],None} The names for the underlying explanatory variables, x used in for creating the column and parameter names for the basis functions. If
xis a pandas object, then the names will be taken from it.
Methods
transform(x_new)create the spline basis for new observations