predict.wbgee: Predictions and simulations from within-between GEE models

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

Predictions and simulations from within-between GEE models

Description

These methods facilitate fairly straightforward predictions from wbgee models.

Usage

## S3 method for class 'wbgee'
predict(
  object,
  newdata = NULL,
  se.fit = FALSE,
  raw = FALSE,
  type = c("link", "response"),
  ...
)

Arguments

object	Object of class inheriting from "lm"
newdata	An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.
se.fit	A switch indicating if standard errors are required.
raw	Is newdata a geeglm model frame or panel_data? TRUE indicates a geeglm-style newdata, with all of the extra columns created by wbgee.
type	Type of prediction (response or model term). Can be abbreviated.
...	further arguments passed to or from other methods.

Examples

if (requireNamespace("geepack")) {
  data("WageData")
  wages <- panel_data(WageData, id = id, wave = t)
  model <- wbgee(lwage ~ lag(union) + wks, data = wages)
  # By default, assumes you're using the processed data for newdata
  predict(model)
}

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