Aggregate Business Tendency Survey Data (and other qualitative
surveys) to time series at various aggregation levels. Run aggregation of
survey data in a speedy, re-traceable and a easily deployable way.
Aggregation is substantially accelerated by use of data.table.
Panelaggregation aims at providing an interface that is more geared towards
survey researchers.
as.person(c('Matthias Bannert <bannert@kof.ethz.ch> [aut,
cre]','Gabriel Bucur <bucur@kof.ethz.ch> [aut]'))
Matthias Bannert [aut, cre], Gabriel Bucur [aut]

Regression Models and Utilities for Repeated Measures and Panel
Data
person("Jacob A.", "Long", email = "long.1377@osu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1582-6214"))
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.
crayon, dplyr, Formula, ggplot2, jtools (>= 2.0.1), lmerTest,
magrittr, methods, purrr, rlang (>= 0.3.0), stringr, tibble
brms, broom, car, clubSandwich, geepack, nlme, plm, sandwich,
skimr, tidyr (>= 0.8.3), testthat, covr, knitr, rmarkdown

brms, broom, car, clubSandwich, geepack, generics, nlme, plm,
sandwich, skimr, tidyr (>= 0.8.3), testthat, covr, knitr,
rmarkdown