convol
(Package: gplm) :
Kernel convolution
Calculates the convolution of data with a kernel function.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: convol
●
0 images
|
Calculates several constants of a (product) kernel function.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: kernel.constants
●
0 images
|
create.grid
(Package: gplm) :
Create a grid for kernel estimation
Helps to define a grid for kernel denity or regression estimates (univariate or multivariate).
● Data Source:
CranContrib
● Keywords: smooth
● Alias: create.grid
●
0 images
|
glm.link
(Package: gplm) :
(Inverse) Link function for GLM
Defines the inverse link function for a GLM.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: glm.link
●
0 images
|
Calculates several kernel functions (uniform, triangle, epanechnikov, biweight, triweight, gaussian).
● Data Source:
CranContrib
● Keywords: smooth
● Alias: kernel.function
●
0 images
|
sgplm1
(Package: gplm) :
Generalized partial linear model
Fits a generalized partial linear model (based on smoothing spline) using the (generalized) Speckman estimator or backfitting (in the generalized case combined with local scoring) for two additive component functions. In contrast to kgplm , this function can be used only for a 1-dimensional nonparametric function.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: sgplm1
●
0 images
|
Defines the link function for a GLM.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: glm.inverse.link
●
0 images
|
kgplm
(Package: gplm) :
Generalized partial linear model
Fits a generalized partial linear model (kernel-based) using the (generalized) Speckman estimator or backfitting (in the generalized case combined with local scoring) for two additive component functions.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: kgplm
●
0 images
|
glm.lld
(Package: gplm) :
Log-likelihood derivatives for GLM
Computes first and second derivatives of the individual log-likelihood with respect to the linear predictor. Currently only the gaussian (with identity link) and the bernoulli family (with logit and probit links) are implemented.
● Data Source:
CranContrib
● Keywords: smooth
● Alias: glm.lld
●
0 images
|
kde
(Package: gplm) :
Kernel density estimation
Calculates a kernel density estimate (univariate or multivariate).
● Data Source:
CranContrib
● Keywords: smooth
● Alias: kde
●
0 images
|