glmnetWrapper: warpper function of parameters for glmnet function

In lizhongliu1996/PredictMisc: package that use three methods to predict methylation regions

Description

warpper function of parameters for glmnet function

Usage

glmnetWrapper(alpha, trainTable_df, respCol_index, family = c("gaussian",
  "binomial", "poisson", "multinomial", "cox", "mgaussian"), seed_int,
  whichRep_int, whichCVfold_int)

Arguments

alpha	one alpha value for glmnet
trainTable_df	train data frame that each column represents a CpG probe while each row represents a sample, each cell is a methaylation M value
respCol_index	which col number is response variable in Methylation Mvalue data frame
family	Response type
seed_int	seed.value in use right row
whichRep_int	repetition num in use right now, this decides on the traning data to be used
whichCVfold_int	crossvalidation num in use right now, this decides on the traning data to be used

Details

function that create input of function evaluateGlmnet

Value

A list contains results of glmnet

Examples

## Not run: 
 data(ExampleMvalue_train)
 fit <- glmnetWrapper(
    alpha = 0,
    trainTable_df = ExampleMvalue_train,
    respCol_index = 1,
    family = "binomial",
    seed_int = 120,
    whichRep_int = 1,
    whichCVfold_int = 5
   )
 
## End(Not run)

lizhongliu1996/PredictMisc documentation built on Aug. 23, 2019, 5:55 a.m.