wbm_tidiers: Tidy methods for 'wbm' models

In panelr: Regression Models and Utilities for Repeated Measures and Panel Data

Tidy methods for wbm models

Description

panelr provides methods to access wbm data in a tidy format

Usage

## S3 method for class 'wbm'
tidy(
  x,
  conf.int = FALSE,
  conf.level = 0.95,
  effects = c("fixed", "ran_pars"),
  conf.method = "Wald",
  ran_prefix = NULL,
  ...
)

## S3 method for class 'wbm'
glance(x, ...)

## S3 method for class 'summ.wbm'
glance(x, ...)

## S3 method for class 'summ.wbm'
tidy(x, ...)

Arguments

x	An object of class merMod, such as those from lmer, glmer, or nlmer
conf.int	whether to include a confidence interval
conf.level	confidence level for CI
effects	A character vector including one or more of "fixed" (fixed-effect parameters); "ran_pars" (variances and covariances or standard deviations and correlations of random effect terms); "ran_vals" (conditional modes/BLUPs/latent variable estimates); or "ran_coefs" (predicted parameter values for each group, as returned by coef.merMod.
conf.method	method for computing confidence intervals (see lme4::confint.merMod)
ran_prefix	a length-2 character vector specifying the strings to use as prefixes for self- (variance/standard deviation) and cross- (covariance/correlation) random effects terms
...	Additional arguments (passed to confint.merMod for tidy; augment_columns for augment; ignored for glance)

Examples

data("WageData")
wages <- panel_data(WageData, id = id, wave = t)
model <- wbm(lwage ~ lag(union) + wks, data = wages)
if (requireNamespace("broom.mixed")) {
  broom.mixed::tidy(model)
}

panelr documentation built on Aug. 22, 2023, 5:08 p.m.