error_number_of_predictors: Check number of predictors are valid

In tpgarcia/stride: STRIDE: Robust powerful mixture models

Description

Reports an error if the number_of_functional_predictors =0 and number_of_nonfunctional_predictors=0. Our model runs only if we have at least one functional_predictor or at least one nonfunctional_predictor.

Usage

error_number_of_predictors(
  number_of_functional_predictors,
  number_of_nonfunctional_predictors
)

Arguments

number_of_functional_predictors	Number of functional predictors.
number_of_nonfunctional_predictors	Number of nonfunctional predictors.

Value

Error if number_of_functional_predictors =0 and number_of_nonfunctional_predictors=0.

Examples

## Returns error (not run)
#number_of_functional_predictors <- 0
#number_of_nonfunctional_predictors <- 0
#error_number_of_predictors(number_of_functional_predictors,number_of_nonfunctional_predictors)

tpgarcia/stride documentation built on March 18, 2021, 3:42 p.m.