predict_vals() is a Predict function that makes predictions from data using a specified statistical model. Specifically, this function implements an algorithm to predict values. The function returns Predicted values (a double vector).
Usage
predict_vals(
data_tb,
model_mdl,
family_1L_chr = NA_character_,
force_new_data_1L_lgl = F,
min_max_vals_dbl = numeric(0),
is_brms_mdl_1L_lgl = T,
impute_1L_lgl = T,
new_data_is_1L_chr = "Predicted",
predn_type_1L_chr = NULL,
sd_dbl = NA_real_,
tfmn_1L_chr = "NTF",
tfmn_for_bnml_1L_lgl = F,
var_cls_fn = NULL
)Arguments
- data_tb
Data (a tibble)
- model_mdl
Model (a model)
- family_1L_chr
Family (a character vector of length one), Default: 'NA'
- force_new_data_1L_lgl
Force new data (a logical vector of length one), Default: F
- min_max_vals_dbl
Minimum maximum values (a double vector), Default: numeric(0)
- is_brms_mdl_1L_lgl
Is bayesian regression models model (a logical vector of length one), Default: T
- impute_1L_lgl
Impute (a logical vector of length one), Default: T
- 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
- sd_dbl
Standard deviation (a double vector), Default: NA
- tfmn_1L_chr
Transformation (a character vector of length one), Default: 'NTF'
- tfmn_for_bnml_1L_lgl
Transformation for binomial (a logical vector of length one), Default: F
- var_cls_fn
Variable class (a function), Default: NULL