All functions

are_varying()

Check if variables are constant or variable over time.

complete_data()

Filter out entities with too few observations

formula(<wbm>)

Retrieve model formulas from wbm objects

get_wave() get_id() get_periods()

Retrieve panel_data metadata

is_panel()

Check if object is panel_data

line_plot()

Plot trends in longitudinal variables

long_panel()

Convert wide panels to long format

make_wb_data()

Prepare data for within-between modeling

model_frame()

Make model frames for panel_data objects

nobs(<wbm>)

Number of observations used in wbm models

panel_data() as_pdata.frame() as_panel_data() as_panel()

Create panel data frames

predict(<wbm>) simulate(<wbm>)

Predictions and simulations from within-between models

summary(<panel_data>)

Summarize panel data frames

unpanel()

Convert panel_data to regular data frame

WageData

Earnings data from the Panel Study of Income Dynamics

wbm-class

Within-Between Model (wbm) class

wbm()

Panel regression models

wbm_stan()

Bayesian estimation of within-between models

tidy.wbm() glance.wbm()

Tidy methods for wbm models

widen_panel()

Convert long panel data to wide format