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)
Multinomial, ordinal and cumulative link models (bracl, multinom, mlm, ...)
Mixed models (lme4, nlme, glmmTMB, ...)
Bayesian tests (BayesFactor)
Bayesian models (rstanarm, brms, MCMCglmm, ...)
PCA and FA (psych)
CFA and SEM (lavaan, blavaan)
Cluster models (k-means, ...)
Hypothesis Testing (glht)
model_parameters(model, ...)parameters(model, ...)
Statistical Model.
Arguments passed to or from other methods. Non-documented arguments are digits, p_digits and ci_digits to set the number of digits for the output. See 'Examples' in model_parameters.default.
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.
standardize_names() to rename
columns into a consistent, standardized naming scheme.