glpls1a.mlogit.cv.error: Leave-one-out cross-validation error using MIRWPLS and...

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/glpls1a.error.R

Description

Leave-one-out cross-validation training set error for fitting MIRWPLS or MIRWPLSF model for multi-group classification

Usage

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glpls1a.mlogit.cv.error(train.X, train.y, K.prov = NULL, eps = 0.001,lmax = 100, mlogit = T, br = T)

Arguments

train.X

n by p design matrix (with no intercept term) for training set

train.y

response vector with class lables 1 to C+1 for C+1 group classification, baseline class should be 1

K.prov

number of PLS components

eps

tolerance for convergence

lmax

maximum number of iteration allowed

mlogit

if TRUE use the multinomial logit model, otherwise fit all C-1 logistic models (vs baseline class 1) separately

br

TRUE if Firth's bias reduction procedure is used

Value

error

LOOCV training error

error.obs

the misclassified error observation indices

Author(s)

Beiying Ding, Robert Gentleman

References

See Also

glpls1a.cv.error, glpls1a.train.test.error,glpls1a, glpls1a.mlogit,glpls1a.logit.all

Examples

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 x <- matrix(rnorm(20),ncol=2)
 y <- sample(1:3,10,TRUE)

 ## no bias reduction
 glpls1a.mlogit.cv.error(x,y,br=FALSE)
 glpls1a.mlogit.cv.error(x,y,mlogit=FALSE,br=FALSE)
 ## bias reduction
 glpls1a.mlogit.cv.error(x,y,br=TRUE)
 glpls1a.mlogit.cv.error(x,y,mlogit=FALSE,br=TRUE)

gpls documentation built on May 31, 2017, 11:33 a.m.