dpm_tidiers: Tidy methods for dpm

In jacob-long/dpm: Dynamic Panel Models Fit with Maximum Likelihood

Tidy methods for dpm

Description

dpm objects support the broom package's tidy method.

Usage

## S3 method for class 'dpm'
tidy(x, conf.int = FALSE, conf.level = 0.95, ...)

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

Arguments

x	A dpm object.
conf.int	Logical indicating whether or not to include a confidence interval in the tidy data frame.
conf.level	The confidence level to use for the confidence interval when conf.int is TRUE. Default is .95, corresponding to a 95% confidence interval.
...	Other arguments passed to summary.dpm.

Value

A tibble::tibble() with information about model components. These will be coefficient estimates (for tidy()) or model fit (for glance()), following the naming standards established by the broom package.

Examples

if (requireNamespace("broom")) {
  library(broom)
  # Load example data
  data("WageData", package = "panelr")
  # Convert data to panel_data format for ease of use
  wages <- panel_data(WageData, id = id, wave = t)

  fit <- dpm(wks ~ pre(lag(union)) + lag(lwage) | ed, data = wages)
  tidy(fit)
}

jacob-long/dpm documentation built on Feb. 6, 2024, 1:16 a.m.