glpls1a.mlogit.cv.error {gpls} | R Documentation |
Leave-one-out cross-validation training set error for fitting MIRWPLS or MIRWPLSF model for multi-group classification
glpls1a.mlogit.cv.error(train.X, train.y, K.prov = NULL, eps = 0.001,lmax = 100, mlogit = T, br = T)
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 |
error |
LOOCV training error |
error.obs |
the misclassified error observation indices |
Beiying Ding, Robert Gentleman
glpls1a.cv.error
, glpls1a.train.test.error
,glpls1a
, glpls1a.mlogit
,glpls1a.logit.all
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)