cp_thrs_LLS: Compute threshold values based on Log-likelihood values

In gspcr: Generalized Supervised Principal Component Regression

Compute threshold values based on Log-likelihood values

Description

Produces a vector of threshold values that define active predictors.

Usage

cp_thrs_LLS(dv, ivs, fam)

Arguments

dv	numeric vector or factor of dependent variable values
ivs	n \times p data.frame of independent variables (factors allowed)
fam	character vector of length 1 storing the description of the error distribution and link function to be used in the model (see cv_gspcr() for the list of possible options)

Value

numeric vector of log-likelihood value from all of the univariate GLM models regressing dv on each column of ivs.

Author(s)

Edoardo Costantini, 2023

Examples

# Example inputs
dv <- mtcars[, 1]
ivs <- mtcars[, -1]
fam <- "gaussian"

# Use function
cp_thrs_LLS(dv, ivs, fam)

gspcr documentation built on May 29, 2024, 2:44 a.m.