Function reference • panelr

Regression models

wbm(): Panel regression models fit via multilevel modeling

wbgee(): Panel regression models fit with GEE

fdm(): Estimate first differences models using GLS

asym(): Estimate asymmetric effects models using first differences

asym_gee(): Asymmetric effects models fit with GEE

wbm_stan(): Bayesian estimation of within-between models

Panel data wrangling

panel_data() as_pdata.frame() as_panel_data() as_panel(): Create panel data frames

widen_panel(): Convert long panel data to wide format

long_panel(): Convert wide panels to long format

summary(<panel_data>): Summarize panel data frames

complete_data(): Filter out entities with too few observations

model_frame(): Make model frames for panel_data objects

unpanel(): Convert panel_data to regular data frame

is_panel(): Check if object is panel_data

Model utilities

tidy(<wbm>) glance(<wbm>) glance(<summ.wbm>) tidy(<summ.wbm>): Tidy methods for wbm models

tidy(<asym_gee>) tidy(<wbgee>) glance(<wbgee>): Tidy methods for wbgee models

tidy(<asym>) tidy(<fdm>) glance(<fdm>): Tidy methods for fdm and asym models

predict(<wbm>) simulate(<wbm>): Predictions and simulations from within-between models

predict(<wbgee>): Predictions and simulations from within-between GEE models

formula(<wbm>): Retrieve model formulas from wbm objects

nobs(<wbm>): Number of observations used in wbm models

wbm-class: Within-Between Model (wbm) class

Other utilities

are_varying(): Check if variables are constant or variable over time.

make_wb_data(): Prepare data for within-between modeling

make_diff_data(): Generate differenced and asymmetric effects data

get_wave() get_id() get_periods(): Retrieve panel_data metadata

line_plot(): Plot trends in longitudinal variables

heise(): Estimate Heise stability and reliability coefficients

Datasets

WageData: Earnings data from the Panel Study of Income Dynamics

teen_poverty: National Longitudinal Survey of Youth teenage women poverty data

nlsy: National Longitudinal Survey of Youth data