build_reg_model: Build a generic regression model model

In BlanketStatsments: Build and Compare Statistical Models

Description

Build a generic regression model from data and meta-parameters. Currently only available for linear and logistic types.

Usage

build_reg_model(
  df,
  outcome,
  predictors,
  covariates = c(),
  modality = "linear",
  verbose = FALSE
)

Arguments

df	data.frame containing the data set
outcome	character denoting column with the outcome of interest
predictors	character vector denoting columns with independent variables of interest
covariates	character vector denoting columns with independent variables not of interest. Covariates are mathematically identical to predictors but will be ignored in reporting
modality	character designating type. Currently limited to 'linear' and 'logistic'.
verbose	logical. TRUE activates printout messages

Value

A regression model of linear or logistic type

Author(s)

J. Peter Marquardt

Examples

mod <- build_reg_model(data.frame('outcome' = c(1,2), 'pred' = c(3,4)), 'outcome', c('pred'))

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