Formula, xtable, compiler, utils, methods, sandwich

Formula, xtable, compiler, utils, methods, sandwich, numDeriv

Transforms away factors with many levels prior to doing an OLS.
Useful for estimating linear models with multiple group fixed effects, and for
estimating linear models which uses factors with many levels as pure control
variables. Includes support for instrumental variables, conditional F statistics
for weak instruments, robust and multi-way clustered standard errors, as well as
limited mobility bias correction.

Formula, xtable, compiler, utils, methods, sandwich, parallel
knitr, digest, igraph, plm, R2Cuba, cubature, numDeriv

knitr, digest, igraph, plm, cubature, numDeriv, data.table

knitr, digest, igraph, plm, cubature(>= 1.3-1), numDeriv,
data.table

knitr, digest, igraph, plm, cubature(>= 2.0.3), numDeriv,
data.table, alpaca

c(person("Simen", "Gaure", email="Simen.Gaure@frisch.uio.no", role=c("aut","cre"),
comment=c(ORCID="https://orcid.org/0000-0001-7251-8747")),
person("Grant","McDermott", email="grantmcd@uoregon.edu", role="ctb"),
person("Karl", "Dunkle Werner", role="ctb"),
person("Matthieu","Stigler",role="ctb"),
person("Daniel","Lüdecke",email="mail@danielluedecke.de",role="ctb"))
knitr, digest, igraph, plm, cubature (>= 2.0.3), numDeriv,
data.table, alpaca, testthat
Simen Gaure [aut, cre] (<https://orcid.org/0000-0001-7251-8747>),
Grant McDermott [ctb],
Karl Dunkle Werner [ctb],
Matthieu Stigler [ctb],
Daniel Lüdecke [ctb]

c(person("Simen", "Gaure", email="Simen.Gaure@frisch.uio.no", role=c("aut"),
comment=c(ORCID="https://orcid.org/0000-0001-7251-8747")),
person("Grant","McDermott", email="grantmcd@uoregon.edu", role="ctb"),
person("Karl", "Dunkle Werner", role="ctb"),
person("Matthieu","Stigler", email = "Matthieu.Stigler@gmail.com", role= c("ctb", "cre"),
comment =c(ORCID="0000-0002-6802-4290")),
person("Daniel","Lüdecke",email="mail@danielluedecke.de",role="ctb"))
Transforms away factors with many levels prior to doing an OLS.
Useful for estimating linear models with multiple group fixed effects, and for
estimating linear models which uses factors with many levels as pure control variables. See Gaure (2013) <doi:10.1016/j.csda.2013.03.024>
Includes support for instrumental variables, conditional F statistics for weak instruments,
robust and multi-way clustered standard errors, as well as limited mobility bias correction (Gaure 2014 <doi:10.1002/sta4.68>).
WARNING: This package is NOT under active development anymore, no further improvements are to be expected, and the package is at risk of being removed from CRAN.
Simen Gaure [aut] (<https://orcid.org/0000-0001-7251-8747>),
Grant McDermott [ctb],
Karl Dunkle Werner [ctb],
Matthieu Stigler [ctb, cre] (<https://orcid.org/0000-0002-6802-4290>),
Daniel Lüdecke [ctb]