Get a named vector of coefficients from a model object

Description

Mostly for internal use, but can be useful because the output is consistent across model classes.

Usage

get_coef(model, ...)

## Default S3 method:
get_coef(model, ...)

## S3 method for class 'polr'
get_coef(model, ...)

## S3 method for class 'multinom_weightit'
get_coef(model, ...)

## S3 method for class 'afex_aov'
get_coef(model, ...)

## S3 method for class 'betareg'
get_coef(model, ...)

## S3 method for class 'multinom'
get_coef(model, ...)

## S3 method for class 'brmultinom'
get_coef(model, ...)

## S3 method for class 'bracl'
get_coef(model, ...)

## S3 method for class 'brmsfit'
get_coef(model, ...)

## S3 method for class 'data.frame'
get_coef(model, ...)

## S3 method for class 'gamlss'
get_coef(model, ...)

## S3 method for class 'glmmTMB'
get_coef(model, ...)

## S3 method for class 'glmgee'
get_coef(model, ...)

## S3 method for class 'merMod'
get_coef(model, ...)

## S3 method for class 'lmerModLmerTest'
get_coef(model, ...)

## S3 method for class 'lmerMod'
get_coef(model, ...)

## S3 method for class 'mblogit'
get_coef(model, ...)

## S3 method for class 'gam'
get_coef(model, ...)

## S3 method for class 'mlm'
get_coef(model, ...)

## S3 method for class 'selection'
get_coef(model, ...)

## S3 method for class 'scam'
get_coef(model, ...)

## S3 method for class 'nls'
get_coef(model, ...)

## S3 method for class 'svyolr'
get_coef(model, ...)

## S3 method for class 'systemfit'
get_coef(model, ...)

## S3 method for class 'workflow'
get_coef(model, ...)

Arguments

model Model object

… Additional arguments are passed to the predict() method supplied by the modeling package.These arguments are particularly useful for mixed-effects or bayesian models (see the online vignettes on the marginaleffects website). Available arguments can vary from model to model, depending on the range of supported arguments by each modeling package. See the "Model-Specific Arguments" section of the ?slopes documentation for a non-exhaustive list of available arguments.

Value

A named vector of coefficients. The names must match those of the variance matrix.