Coefficients for bootstrap computations

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Description

~~ A (1-5 lines) description of what the function does. ~~

Usage

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

Arguments

dataset

~~Explain dataset here~~

ind

~~Explain ind here~~

nt

~~Explain nt here~~

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

~~Explain family here~~

method

~~Explain method here~~

link

~~Explain link here~~

link.phi

~~Explain link.phi here~~

type

~~Explain type here~~

Details

~~ More details than the description above ~~

Value

~Describe the value returned If it is a LIST, use

comp1

Description of 'comp1'

comp2

Description of 'comp2'

...

Note

~~some notes~~

Author(s)

Frédéric Bertrand
frederic.bertrand@math.unistra.fr
http://www-irma.u-strasbg.fr/~fbertran/

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://smf4.emath.fr/Publications/JSFdS/154_3/html/

See Also

~~objects to See Also as help, ~~~

Examples

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data("GasolineYield",package="betareg")