| are_varying | Check if variables are constant or variable over time. |
| asym | Estimate asymmetric effects models using first differences |
| asym_gee | Asymmetric effects models fit with GEE |
| complete_data | Filter out entities with too few observations |
| fdm | Estimate first differences models using GLS |
| fdm_tidiers | Tidy methods for 'fdm' and 'asym' models |
| formula.wbm | Retrieve model formulas from 'wbm' objects |
| get_wave | Retrieve panel_data metadata |
| heise | Estimate Heise stability and reliability coefficients |
| is_panel | Check if object is panel_data |
| line_plot | Plot trends in longitudinal variables |
| long_panel | Convert wide panels to long format |
| make_diff_data | Generate differenced and asymmetric effects data |
| make_wb_data | Prepare data for within-between modeling |
| model_frame | Make model frames for panel_data objects |
| nlsy | National Longitudinal Survey of Youth data |
| nobs.wbm | Number of observations used in 'wbm' models |
| panel_data | Create panel data frames |
| predict.wbgee | Predictions and simulations from within-between GEE models |
| predict.wbm | Predictions and simulations from within-between models |
| reexports | Objects exported from other packages |
| summary.panel_data | Summarize panel data frames |
| teen_poverty | National Longitudinal Survey of Youth teenage women poverty... |
| unpanel | Convert panel_data to regular data frame |
| WageData | Earnings data from the Panel Study of Income Dynamics |
| wbgee | Panel regression models fit with GEE |
| wbgee_tidiers | Tidy methods for 'wbgee' models |
| wbm | Panel regression models fit via multilevel modeling |
| wbm-class | Within-Between Model ('wbm') class |
| wbm_stan | Bayesian estimation of within-between models |
| wbm_tidiers | Tidy methods for 'wbm' models |
| widen_panel | Convert long panel data to wide format |
