Extract quadratic selection coefficients

Usage

extract_quadratic_coefficients(trait_cols, results)

Arguments

trait_cols: A character vector of trait column names.
results: A model results object returned by analyze_nonlinear_selection().

Value

A data frame with quadratic selection coefficients (doubled estimates) and statistics.

Examples

prep <- prepare_selection_data(bumpus, "survival", c("total_length", "weight"))
fit <- analyze_nonlinear_selection(prep, "survival", c("total_length", "weight"), "binary")
#> there are higher-order terms (interactions) in this model
#> consider setting type = 'predictor'; see ?vif
#> Warning: Collinear traits (VIF above 5) may inflate the standard errors
extract_quadratic_coefficients(c("total_length", "weight"), fit)
#>            Term      Type Beta_Coefficient Standard_Error   P_Value
#> 1 total_length² Quadratic       -0.2334206      0.2111590 0.2440227
#> 2       weight² Quadratic        0.0209649      0.1628337 0.9387342