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