coefs.plsRbeta: Coefficients function for bootstrap techniques

Description

Returns the coefficients of a "plsRbeta" model.

Usage

coefs.plsRbeta(
  dataset,
  ind,
  nt,
  modele,
  family = NULL,
  method = "logistic",
  link = NULL,
  link.phi = NULL,
  type = "ML",
  verbose = TRUE
)

Arguments

dataset

dataset to resample

ind

indices for resampling

number of components to use

modele

name of the PLS glm or PLS beta model to be fitted ("pls", "pls-glm-Gamma", "pls-glm-gaussian", "pls-glm-inverse.gaussian", "pls-glm-logistic", "pls-glm-poisson", "pls-glm-polr", "pls-beta"). Use "modele=pls-glm-family" to enable the family option.

family

family to use if GLM model, see plsRbeta

method

method for beta regression

link

link for beta regression

link.phi

link.phi for beta regression

type

type of estimates

verbose

should info messages be displayed ?

Value

Coefficients' Estimates on a sample.

References

Fr<U+00E9>d<U+00E9>ric Bertrand, Nicolas Meyer, Mich<U+00E8>le Beau-Faller, Karim El Bayed, Izzie-Jacques Namer, Myriam Maumy-Bertrand (2013). R<U+00E9>gression B<U+00EA>ta PLS. Journal de la Soci<U+00E9>t<U+00E9> Fran<U+00E7>aise de Statistique, 154(3):143-159. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/215

Examples

Run this code

# NOT RUN {
data("GasolineYield",package="betareg")
modpls <- coefs.plsRbeta(GasolineYield[,-6],1:32,nt=3,modele="pls-beta")
# }
# NOT RUN {
# }