make_predn_metadata_ls() is a Make function that creates a new R object. Specifically, this function implements an algorithm to make prediction metadata list. The function returns Prediction metadata (a list).
Usage
make_predn_metadata_ls(
data_tb,
cmprsn_groups_chr = NULL,
cmprsn_var_nm_1L_chr = NULL,
costs_var_nm_1L_chr = NULL,
id_var_nm_1L_chr = "UID",
mdl_meta_data_ls = NULL,
mdls_lup = NULL,
mdl_nm_1L_chr = NULL,
msrmnt_date_var_nm_1L_chr = NULL,
predr_vars_nms_chr = NULL,
round_var_nm_1L_chr,
round_bl_val_1L_chr,
utl_var_nm_1L_chr = "AQoL6D_HU",
server_1L_chr = "dataverse.harvard.edu",
key_1L_chr = NULL
)Arguments
- data_tb
Data (a tibble)
- cmprsn_groups_chr
Comparison groups (a character vector), Default: NULL
- cmprsn_var_nm_1L_chr
Comparison variable name (a character vector of length one), Default: NULL
- costs_var_nm_1L_chr
Costs variable name (a character vector of length one), Default: NULL
- id_var_nm_1L_chr
Identity variable name (a character vector of length one), Default: 'UID'
- mdl_meta_data_ls
Model meta data (a list), Default: NULL
- mdls_lup
Models (a lookup table), Default: NULL
- mdl_nm_1L_chr
Model name (a character vector of length one), Default: NULL
- msrmnt_date_var_nm_1L_chr
Measurement date variable name (a character vector of length one), Default: NULL
- predr_vars_nms_chr
Predictor variables names (a character vector), Default: NULL
- round_var_nm_1L_chr
Round variable name (a character vector of length one)
- round_bl_val_1L_chr
Round baseline value (a character vector of length one)
- utl_var_nm_1L_chr
Utility variable name (a character vector of length one), Default: 'AQoL6D_HU'
- server_1L_chr
Server (a character vector of length one), Default: 'dataverse.harvard.edu'
- key_1L_chr
Key (a character vector of length one), Default: NULL