View source: R/coefs.plsRglm.R

coefs.plsRglm | R Documentation |

A function passed to `boot`

to perform bootstrap.

```
coefs.plsRglm(
dataset,
ind,
nt,
modele,
family = NULL,
maxcoefvalues,
ifbootfail,
verbose
)
```

`dataset` |
dataset to resample |

`ind` |
indices for resampling |

`nt` |
number of components to use |

`modele` |
type of modele to use, see plsRglm |

`family` |
glm family to use, see plsRglm |

`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 ? |

estimates on a bootstrap sample or `ifbootfail`

value if the
bootstrap computation fails.

Frédéric Bertrand

frederic.bertrand@utt.fr

https://fbertran.github.io/homepage/

See also `bootplsglm`

.

```
data(Cornell)
# (Y,X) bootstrap of a PLSGLR model
# statistic=coefs.plsRglm is the default for (Y,X) bootstrap of a PLSGLR models.
set.seed(250)
modplsglm <- plsRglm(Y~.,data=Cornell,1,modele="pls-glm-family",family=gaussian)
Cornell.bootYX <- bootplsglm(modplsglm, R=250, typeboot="plsmodel",
statistic=coefs.plsRglm, verbose=FALSE)
```

plsRglm documentation built on March 31, 2023, 11:10 p.m.

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