permcoefs.plsRbeta: Coefficients computation for permutation bootstrap

In plsRbeta: Partial Least Squares Regression for Beta Regression Models

Description

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

Usage

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

Arguments

dataset	~~Explain dataset here~~
ind	~~Explain ind here~~
nt	~~Explain nt here~~
modele	~~Explain modele here~~
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
[email protected]
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://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/215

See Also

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

Examples

## Not run: print("to do")

plsRbeta documentation built on June 12, 2018, 1:03 a.m.