write_predr_and_mdl_tstng_results: Write predictor and model testing results

In ready4-dev/specific: Specify Models to Solve Inverse Problems

Write predictor and model testing results

Description

write_predr_and_mdl_tstng_results() is a Write function that writes a file to a specified local directory. Specifically, this function implements an algorithm to write predictor and model testing results. The function returns Output summary (a list).

Usage

write_predr_and_mdl_tstng_results(
  scored_data_tb,
  combinations_1L_lgl = F,
  consent_1L_chr = "",
  consent_indcs_int = 1L,
  depnt_var_max_val_1L_dbl = 0.99999,
  depnt_var_min_val_1L_dbl = 1e-05,
  ds_smry_ls,
  existing_predrs_ls = NULL,
  max_nbr_of_covars_1L_int = integer(0),
  mdl_smry_ls,
  session_data_ls,
  options_chr = c("Y", "N"),
  output_data_dir_1L_chr,
  seed_1L_int = 1234,
  signft_covars_cdn_1L_chr = "any"
)

Arguments

scored_data_tb	Scored data (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_max_val_1L_dbl	Dependent variable maximum value (a double vector of length one), Default: 0.99999
depnt_var_min_val_1L_dbl	Dependent variable minimum value (a double vector of length one), Default: 1e-05
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)
session_data_ls	Session data (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
signft_covars_cdn_1L_chr	Significant covariates condition (a character vector of length one), Default: 'any'

Value

Output summary (a list)

ready4-dev/specific documentation built on Oct. 13, 2023, 7:54 a.m.