get_coef: Get a named vector of coefficients from a model object...

get_coefR Documentation

Get a named vector of coefficients from a model object (internal function)

Description

Get a named vector of coefficients from a model object (internal function)

Usage

get_coef(model, ...)

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

## S3 method for class 'polr'
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 '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 '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 ?marginaleffects documentation for a non-exhaustive list of available arguments.

Value

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


marginaleffects documentation built on Oct. 20, 2023, 1:07 a.m.