runexample: runexample

In oyvble/lme1en: Elastic Net With Random Intercept

Description

Fit elastic net models (without/with batch effects) for a generated example dataset

Usage

runexample(TestTrainProp = 0.6, ntot = 500, nsites = 1000,
  nbatches = 20, propAgeAs = 0.05, sd_batch = 1, sd_signal = 1,
  sd_bparam = 0.1, ageRange = c(10, 35), seed = NULL,
  verbose = TRUE)

Arguments

TestTrainProp	Proportion of data to be used for training (remaining used as test)
ntot	total number of observations (including train and test data)
nsites	number of sites
nbatches	number of batches
propAgeAs	#proportion of sites with assosiation to age
sd_batch	standard dev of batch effects (normal distr effects)
sd_signal	standard dev of signal (norm distr noise)
sd_bparam	sd of age coefficient
ageRange	Age range of considered ages
seed	The user can set seed for reproducibility if wanted
verbose	boolean, show progress Default: TRUE

Details

The function do following steps: 1) simulate dataset 2) Split data into train/test 3) For two comparing models we run cross-valid for calibration and obtain performance using test data

Examples

## Not run:  
 runexample(seed=1)

## End(Not run)

oyvble/lme1en documentation built on April 30, 2020, 2:41 p.m.