select_setM: Select a subset of models

In maxwestphal/SEPM.SIM: Statistical Evaluation of Prediction Models - Simulation Studies

Select a subset of models

Description

Select a subset of models

Usage

select_setM(
  instance,
  methods = NA,
  M = 200,
  M.start = NA,
  M.probs = c("uniform", "learn.theta", "learn.theta.squared"),
  M.seed = 1
)

Arguments

instance	instance generated by sample_mle
methods	character, allowed methods e.g. "glmnet|xgbTree", if NA all methods are allowed (i.e. NA is a shortcut to "glmnet|xgbTree|rpartCost|svmLinearWeights2")
M	integer, number of models
M.start	integer, first model; if M.start=NA, models are choosen randomly according to M.probs
M.probs	character, one of "uniform", "learn.theta", "learn.theta.squared"
M.seed	integer, random seed for random draw of models

maxwestphal/SEPM.SIM documentation built on April 11, 2024, 4:06 p.m.