create_penalty: Function to create mgcv-type penalty
In deepregression: Fitting Deep Distributional Regression
create_penalty R Documentation
Function to create mgcv-type penalty
Description
Function to create mgcv-type penalty
Usage
create_penalty(evaluated_gam_term, df, controls, Z = NULL)
Arguments
evaluated_gam_term
a list resulting from a smoothConstruct call
df
integer; specified degrees-of-freedom for the gam term
controls
list; further arguments defining the smooth
Z
matrix; matrix for constraint(s)
Value
a list with penalty parameter and penalty matrix
deepregression documentation built on Sept. 9, 2025, 5:27 p.m.
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| create_penalty | R Documentation |
Function to create mgcv-type penalty
Description
Function to create mgcv-type penalty
Usage
create_penalty(evaluated_gam_term, df, controls, Z = NULL)
Arguments
evaluated_gam_term |
a list resulting from a smoothConstruct call |
df |
integer; specified degrees-of-freedom for the gam term |
controls |
list; further arguments defining the smooth |
Z |
matrix; matrix for constraint(s) |
Value
a list with penalty parameter and penalty matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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