coefs.plsRbeta: Coefficients function for bootstrap techniques

In plsRbeta: Partial Least Squares Regression for Beta Regression Models

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",
  maxcoefvalues,
  ifbootfail,
  verbose = TRUE
)

Arguments

dataset	dataset to resample
ind	indices for resampling
nt	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
maxcoefvalues	maximum values allowed for the estimates of the coefficients to discard those coming from singular bootstrap samples
ifbootfail	value to return if the estimation fails on a bootstrap sample
verbose	should info messages be displayed ?

Value

Coefficients' Estimates on a sample.

Author(s)

Frédéric Bertrand
[e-mail]
https://fbertran.github.io/homepage/

References

Frédéric Bertrand, Nicolas Meyer, Michèle Beau-Faller, Karim El Bayed, Izzie-Jacques Namer, Myriam Maumy-Bertrand (2013). Régression Bêta PLS. Journal de la Société Française de Statistique, 154(3):143-159. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/215

See Also

See also bootplsbeta.

Examples

data("GasolineYield",package="betareg")
bootplsbeta(plsRbeta(yield~.,data=GasolineYield,nt=3, modele="pls-beta"), typeboot="plsmodel", 
R=250, statistic=coefs.plsRbeta)

plsRbeta documentation built on March 31, 2023, 11:01 p.m.