predict_uncnstrd_utl | R Documentation |
predict_uncnstrd_utl() is a Predict function that makes predictions from data using a specified statistical model. Specifically, this function implements an algorithm to predict unconstrained utility. The function returns New data (a double vector).
predict_uncnstrd_utl(
data_tb,
model_mdl,
new_data_is_1L_chr = "Predicted",
predn_type_1L_chr = NULL,
tfmn_for_bnml_1L_lgl = F,
deterministic_1L_lgl = T,
family_1L_chr = NA_character_,
tfmn_1L_chr = "NTF",
is_brms_mdl_1L_lgl = F,
force_new_data_1L_lgl = F,
sd_dbl = NA_real_
)
data_tb |
Data (a tibble) |
model_mdl |
Model (a model) |
new_data_is_1L_chr |
New data is (a character vector of length one), Default: 'Predicted' |
predn_type_1L_chr |
Prediction type (a character vector of length one), Default: NULL |
tfmn_for_bnml_1L_lgl |
Transformation for binomial (a logical vector of length one), Default: F |
deterministic_1L_lgl |
Deterministic (a logical vector of length one), Default: T |
family_1L_chr |
Family (a character vector of length one), Default: 'NA' |
tfmn_1L_chr |
Transformation (a character vector of length one), Default: 'NTF' |
is_brms_mdl_1L_lgl |
Is bayesian regression models model (a logical vector of length one), Default: F |
force_new_data_1L_lgl |
Force new data (a logical vector of length one), Default: F |
sd_dbl |
Standard deviation (a double vector), Default: NA |
New data (a double vector)
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