Last data update: 2014.03.03

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Results 1 - 10 of 14 found.
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convol (Package: gplm) : Kernel convolution

Calculates the convolution of data with a kernel function.
● Data Source: CranContrib
● Keywords: smooth
● Alias: convol
● 0 images

kernel.constants (Package: gplm) : Kernel constants

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

kernel.function (Package: gplm) : Kernel function

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

glm.inverse.link (Package: gplm) : Link function for GLM

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