write_mdls_with_covars_cmprsn: Write models with covariates comparison
In ready4-dev/specific: Specify Models to Solve Inverse Problems

write_mdls_with_covars_cmprsn

R Documentation

Write models with covariates comparison

Description

write_mdls_with_covars_cmprsn() is a Write function that writes a file to a specified local directory. Specifically, this function implements an algorithm to write models with covariates comparison. The function returns Output summary (a list).

Usage

write_mdls_with_covars_cmprsn(
  scored_data_tb,
  bl_tb,
  combinations_1L_lgl = F,
  consent_1L_chr = "",
  consent_indcs_int = 1L,
  depnt_var_min_val_1L_dbl = numeric(0),
  ds_smry_ls,
  existing_predrs_ls = NULL,
  max_nbr_of_covars_1L_int = integer(0),
  mdl_smry_ls,
  options_chr = c("Y", "N"),
  output_data_dir_1L_chr,
  seed_1L_int = 1234,
  session_data_ls = NULL
)

Arguments

`scored_data_tb`	Scored data (a tibble)
`bl_tb`	Baseline (a tibble)
`combinations_1L_lgl`	Combinations (a logical vector of length one), Default: F
`consent_1L_chr`	Consent (a character vector of length one), Default: ”
`consent_indcs_int`	Consent indices (an integer vector), Default: 1
`depnt_var_min_val_1L_dbl`	Dependent variable minimum value (a double vector of length one), Default: numeric(0)
`ds_smry_ls`	Dataset summary (a list)
`existing_predrs_ls`	Existing predictors (a list), Default: NULL
`max_nbr_of_covars_1L_int`	Maximum number of covariates (an integer vector of length one), Default: integer(0)
`mdl_smry_ls`	Model summary (a list)
`options_chr`	Options (a character vector), Default: c("Y", "N")
`output_data_dir_1L_chr`	Output data directory (a character vector of length one)
`seed_1L_int`	Seed (an integer vector of length one), Default: 1234
`session_data_ls`	Session data (a list), Default: NULL