Compute and extract model parameters. See the documentation for your object's class:
Regression models (lm, glm, survey, ...)
Additive models (gam, gamm, ...)
Zero-inflated models (hurdle, zeroinfl, zerocount)
Mixed models (lme4, nlme, glmmTMB, ...)
Bayesian tests (BayesFactor)
Bayesian models (rstanarm, brms, MCMCglmm)
PCA and FA (psych)
CFA and SEM (lavaan, blavaan)
model_parameters(model, ...)parameters(model, ...)
Statistical Model.
Arguments passed to or from other methods.
A data frame of indices related to the model's parameters.
Standardization is based on standardize_parameters.
In case of standardize = "refit", the data used to fit the model
will be standardized and the model is completely refitted. In such cases,
standard errors and confidence intervals refer to the standardized coefficient.
For other methods of standardizing, unstandardized and standardized coefficients
are shown, where standard errors and confidence intervals relate to the
unstandardized coefficients.
standardize_names() to rename
columns into a consistent, standardized naming scheme.