panel_data-vctrs

vec_restore.panel_data

vec_proxy.panel_data

vec_ptype2.panel_data

vec_ptype2.panel_data.panel_data

vec_ptype2.panel_data.data.frame

vec_ptype2.data.frame.panel_data

vec_ptype2.panel_data.tbl_df

vec_ptype2.tbl_df.panel_data

vec_cast.panel_data

vec_cast.panel_data.panel_data

vec_cast.panel_data.data.frame

vec_cast.panel_data.tbl_df

vec_cast.data.frame.panel_data

vec_cast.tbl_df.panel_data

<p>These methods are the extensions that allow panel_data objects to
work with vctrs and modern dplyr/tidyr operations.</p>

internal

Provides an object type and associated tools for storing and
wrangling panel data. Implements several methods for creating regression
models that take advantage of the unique aspects of
panel data. Among other capabilities, automates the "within-between"
(also known as "between-within" and "hybrid") panel regression specification
that combines the desirable aspects of both fixed effects and random effects
econometric models and fits them as multilevel models
(Allison, 2009 <doi:10.4135/9781412993869.d33>;
Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be
estimated via generalized estimating equations
(GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian
estimation is (optionally) supported via 'Stan'.
Supports estimation of asymmetric effects models via first differences
(Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized
linear model extension thereof using GEE.

panel_data-vctrs: Internal vctrs methods

Description

Usage

Arguments