add_utl_predn: Add utility prediction

In ready4-dev/map2aqol: Transform Youth Outcomes to Health Utility Predictions

Add utility prediction

Description

add_utl_predn() is an Add function that updates an object by adding new values to new or empty fields. Specifically, this function implements an algorithm to add utility prediction. The function returns Updated (a tibble).

Usage

add_utl_predn(
  data_tb,
  predn_ds_ls,
  deterministic_1L_lgl = T,
  force_min_max_1L_lgl = T,
  key_1L_chr = NULL,
  make_from_tbl_1L_lgl = T,
  model_mdl = NULL,
  new_data_is_1L_chr = "Simulated",
  server_1L_chr = "dataverse.harvard.edu",
  utl_cls_fn = NULL
)

Arguments

data_tb	Data (a tibble)
predn_ds_ls	Prediction dataset (a list)
deterministic_1L_lgl	Deterministic (a logical vector of length one), Default: T
force_min_max_1L_lgl	Force minimum maximum (a logical vector of length one), Default: T
key_1L_chr	Key (a character vector of length one), Default: NULL
make_from_tbl_1L_lgl	Make from table (a logical vector of length one), Default: T
model_mdl	Model (a model), Default: NULL
new_data_is_1L_chr	New data is (a character vector of length one), Default: 'Simulated'
server_1L_chr	Server (a character vector of length one), Default: 'dataverse.harvard.edu'
utl_cls_fn	Utility class (a function), Default: NULL

Value

Updated (a tibble)

ready4-dev/map2aqol documentation built on April 25, 2024, 12:17 p.m.