glp.model.matrix: Utility function for constructing generalized polynomial...
In JeffreyRacine/R-Package-crs: Categorical Regression Splines
View source: R/glp.model.matrix.R
glp.model.matrix R Documentation
Utility function for constructing generalized polynomial smooths
Description
Produce model matrices for a generalized polynomial smooth from the
model matrices for the marginal bases of the smooth.
Usage
glp.model.matrix(X)
Arguments
X
a list of model matrices for the marginal bases of a smooth
Details
This function computes a generalized polynomial where the
orders of each term entering the polynomial may vary.
Value
A model matrix for a generalized polynomial smooth.
Author(s)
Jeffrey S. Racine racinej@mcmaster.ca
References
Hall, P. and J.S. Racine (2015), “Infinite Order Cross-Validated Local Polynomial Regression,” Journal of Econometrics, 185, 510-525.
Examples
X <- list(matrix(1:4,2,2),matrix(5:10,2,3))
glp.model.matrix(X)
JeffreyRacine/R-Package-crs documentation built on Jan. 4, 2025, 12:43 a.m.
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View source: R/glp.model.matrix.R
| glp.model.matrix | R Documentation |
Utility function for constructing generalized polynomial smooths
Description
Produce model matrices for a generalized polynomial smooth from the model matrices for the marginal bases of the smooth.
Usage
glp.model.matrix(X)
Arguments
X |
a list of model matrices for the marginal bases of a smooth |
Details
This function computes a generalized polynomial where the orders of each term entering the polynomial may vary.
Value
A model matrix for a generalized polynomial smooth.
Author(s)
Jeffrey S. Racine racinej@mcmaster.ca
References
Hall, P. and J.S. Racine (2015), “Infinite Order Cross-Validated Local Polynomial Regression,” Journal of Econometrics, 185, 510-525.
Examples
X <- list(matrix(1:4,2,2),matrix(5:10,2,3))
glp.model.matrix(X)
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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