blanket_statsments: Run multiple different models with different sets of...

In BlanketStatsments: Build and Compare Statistical Models

Description

Wraps blanket_stats. Run a list of models with different modalities/outcomes for a list of different predictor sets with the same covariables.

Usage

blanket_statsments(
  df,
  models_to_run,
  predictor_sets,
  covariates = c(),
  verbose = FALSE
)

Arguments

df	data.frame containing the data set.
models_to_run	either a named list or data.frame type, with every entry/row having the keys/columns outcome, modality, and event_censor
predictor_sets	named list of lists containing the set of predictors. See blanket_stats for details
covariates	vector of characters denoting columns with covariables
verbose	logical. TRUE activates printout messages.

Value

named list of named lists of models

Author(s)

J. Peter Marquardt

Examples

data <- survival::lung
models_to_run <- list('OS' = list(
'outcome' = 'time', 'modality' = 'cox', 'event_censor' = 'status'),
'weight_loss' = list('outcome' = 'wt.loss', 'modality' = 'linear', 'event_censor' = NA))
predictor_sets <- list('age' = c('age'),'age_ecog' = c('age', 'ph.ecog'))
covariates = c('sex')
bl_stats <- blanket_statsments(data, models_to_run, predictor_sets, covariates)

BlanketStatsments documentation built on Aug. 2, 2021, 9:06 a.m.