# Buildsheet autogenerated by ravenadm tool -- Do not edit. NAMEBASE= R-plm VERSION= 2.6-6 KEYWORDS= cran VARIANTS= std SDESC[std]= Linear Models for Panel Data HOMEPAGE= https://cran.r-project.org/package=plm CONTACT= CRAN_Automaton[cran@ironwolf.systems] DOWNLOAD_GROUPS= main SITES[main]= CRAN/src/contrib https://loki.dragonflybsd.org/cranfiles/ DISTFILE[1]= plm_2.6-6.tar.gz:main DIST_SUBDIR= CRAN DF_INDEX= 1 SPKGS[std]= single OPTIONS_AVAILABLE= none OPTIONS_STANDARD= none BUILDRUN_DEPENDS= R-bdsmatrix:single:std R-collapse:single:std R-zoo:single:std R-sandwich:single:std R-lmtest:single:std R-maxLik:single:std R-Rdpack:single:std R-Formula:single:std USES= cran gmake DISTNAME= plm GENERATED= yes INSTALL_REQ_TOOLCHAIN= yes [FILE:1241:descriptions/desc.single] plm: Linear Models for Panel Data A set of estimators for models and (robust) covariance matrices, and tests for panel data econometrics, including within/fixed effects, random effects, between, first-difference, nested random effects as well as instrumental-variable (IV) and Hausman-Taylor-style models, panel generalized method of moments (GMM) and general FGLS models, mean groups (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP) estimators with common factors, variable coefficients and limited dependent variables models. Test functions include model specification, serial correlation, cross-sectional dependence, panel unit root and panel Granger (non-)causality. Typical references are general econometrics text books such as Baltagi (2021), Econometric Analysis of Panel Data (<doi:10.1007/978-3-030-53953-5>), Hsiao (2014), Analysis of Panel Data (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018), Panel Data Econometrics with R (<doi:10.1002/9781119504641>). [FILE:100:distinfo] 35a9832819f215222527a31a5e8dd8b1a10074cb8563324dcdba3bcd8c8400b3 1362057 CRAN/plm_2.6-6.tar.gz