R: Regression Models and Utilities for Repeated Measures and Panel Data

# Regression Models and Utilities for Repeated Measures and Panel Data

## Documentation for package ‘panelr’ version 0.7.8

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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
as_panel | Create panel data frames
as_panel_data | Create panel data frames
as_panel_data.default | Create panel data frames
as_panel_data.pdata.frame | Create panel data frames
as_pdata.frame | Create panel data frames
complete_data | Filter out entities with too few observations
fdm | Estimate first differences models using GLS
formula.wbm | Retrieve model formulas from 'wbm' objects
get_id | Retrieve panel_data metadata
get_periods | Retrieve panel_data metadata
get_wave | Retrieve panel_data metadata
glance.fdm | Tidy methods for 'fdm' and 'asym' models
glance.summ.wbm | Tidy methods for 'wbm' models
glance.wbgee | Tidy methods for 'wbgee' models
glance.wbm | Tidy methods for 'wbm' models
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
simulate.wbm | Predictions and simulations from within-between models
summary.panel_data | Summarize panel data frames
teen_poverty | National Longitudinal Survey of Youth teenage women poverty data
tidy.asym | Tidy methods for 'fdm' and 'asym' models
tidy.asym_gee | Tidy methods for 'wbgee' models
tidy.fdm | Tidy methods for 'fdm' and 'asym' models
tidy.summ.wbm | Tidy methods for 'wbm' models
tidy.wbgee | Tidy methods for 'wbgee' models
tidy.wbm | Tidy methods for 'wbm' models
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
wbm | Panel regression models fit via multilevel modeling
wbm-class | Within-Between Model ('wbm') class
wbm_stan | Bayesian estimation of within-between models
widen_panel | Convert long panel data to wide format