nlOmicAssoc: Fits the specified multivariable model to a data.frame or an...

In isglobal-brge/nlOmicAssoc: non-linar omic association

Description

Prepares data and fits specified model using specific call for each case Returns an object on nlAssoc class

Usage

nlOmicAssoc(object, covars = NULL, model = c("partdsa", "exwassp", "mfp",
  "gam", "gamboost", "rforest", "nnetwork"), imp_method = "pmm",
  perc_imp = 70, cores = 1L, verbose = FALSE, ...)

Arguments

object	numeric matrix, with samples as columns and observations as rows, or ExpressionSet or SummarizedExperiment
covars	data.frame with samples as rows and variables as columns
imp_method	imputation method for missing values in variables. Default is pmm
perc_imp	numerical in [0,100], the maximum % of a variable allowed to have NAs. Default is 70
cores	cores in case of parallelization (no windows)
verbose	logical to verbose (comment) the steps of the function. Default is FALSE

Value

nlAssoc

a file results with model, variables

Examples

to be built

isglobal-brge/nlOmicAssoc documentation built on May 9, 2019, 8:16 a.m.