blanket_stats: Run multiple slightly different models of same type

In BlanketStatsments: Build and Compare Statistical Models

Description

Run the same model (type, outcome, and covariates) with different sets of predictors

Usage

blanket_stats(
  df,
  outcome,
  predictor_sets,
  covariates = c(),
  modality = "linear",
  event_censor = NA,
  verbose = FALSE
)

Arguments

df	data.frame containing the data set.
outcome	character designating the column with the outcome of interest
predictor_sets	named list or character vectors containing columns with predictors
covariates	vector of characters denoting columns with covariables
modality	character denoting model type. Currently limited to 'linear', 'logistic', and 'cox'
event_censor	character denoting column with censor event. For coxph models only
verbose	logical. TRUE activates printout messages.

Value

named list of models

Author(s)

J. Peter Marquardt

Examples

data <- survival::lung
outcome <- 'time'
predictor_sets <- list('age' = c('age'),'age_ecog' = c('age', 'ph.ecog'))
covariates = c('sex')
modality <- 'cox'
event_censor <- 'status'
bl_stats <- blanket_stats(data, outcome, predictor_sets, covariates, modality, event_censor)

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