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
x
is a pandas object, then the names will be taken from it.
Methods
transform
(x_new)create the spline basis for new observations