Function VIF [DescTools v0.99.19]

keywords

regression

title

Variance Inflation Factors

description

Calculates variance-inflation and generalized variance-inflation factors for linear and generalized linear models.

Function plotLMER.fnc [LMERConvenienceFunctions v2.10]

keywords

regression

title

plot a mer object

description

Plot partial effects of a (generalized) linear mixed-effects model fit with lmer (compatible with package lme4 version > 1.0).

Function gamlss.fk [gamlss.add v5.0-1]

keywords

regression

title

Support for Function fk()

description

This is support for the functions fk(). It is not intended to be called directly by users. T he function gamlss.fk is calling on the R function curfit.free.knot() of Sundar Dorai-Raj

Function nn [gamlss.add v5.0-1]

keywords

regression

title

A interface function to use nnet() function within GAMLSS

description

The nn() function is a additive function to be used for GAMLSS models. It is an interface for the nnet() function of package nnet of Brian Ripley. The function nn() allows the user to use neural networks within gamlss. The great advantage of course comes from the fact GAMLSS models provide a variety of distributions and diagnostics.

Function gamlss.nn [gamlss.add v5.0-1]

keywords

regression

title

Support for Function nn()

description

This is support for the smoother function nn() an interface for Brian Reply's nnet() function. It is not intended to be called directly by users.

Function gamlss.ga [gamlss.add v5.0-1]

keywords

regression

title

Support for Function ga() and ba()

description

This is support for the smoother functions ga() and ba() intefaces for Simon Woood's gam() and bam() functions from package mgcv. It is not intended to be called directly by users.

Function fitFixedKnots [gamlss.add v5.0-1]

keywords

regression

title

Functions to Fit Univariate Break Point Regression Models

description

There are two main functions here. The functions fitFixedKnots allows the fit a univariate regression using piecewise polynomials with "known" break points while the function fitFreeKnots estimates the break points.

Function fk [gamlss.add v5.0-1]

keywords

regression

title

A function to fit break points within GAMLSS

description

The fk() function is a additive function to be used for GAMLSS models. It is an interface for the fitFreeKnots() function of package gamlss.util. The functions fitFreeKnots() was first based on the curfit.free.knot() function of package DierckxSpline of Sundar Dorai-Raj and Spencer Graves. The function fk() allows the user to use the free knots function fitFreeKnots() within gamlss. The great advantage of course comes from the fact GAMLSS models provide a variety of distributions and diagnostics.

Function ga [gamlss.add v5.0-1]

keywords

regression

title

A interface functions to use Simon Wood's gam() and bam() functions within GAMLSS

description

The ga() and ba() functions are a additive functions to be used within GAMLSS models. They are interfaces for the gam() and the bam() functions of package mgcv of Simon Wood. The functions gam() and the bam() allows the user to use all the available smoothers of the package mcgv() within gamlss. The great advantage of course come from fitting models outside the exponential family.

Function penLags [gamlss.add v5.0-1]

keywords

regression

title

Penalised Lag Regression Function

description

The function penLags() fits a regression model to lags of an explanatory variable x or to lags of y itself. The estimated coefficients of the lags are penalised using a quadratic penalty similar to P-splines.