bucket_2A/R-plm

   1 # Buildsheet autogenerated by ravenadm tool -- Do not edit.
   2
   3 NAMEBASE=               R-plm
   4 VERSION=                2.6-0
   5 KEYWORDS=               cran
   6 VARIANTS=               standard
   7 SDESC[standard]=        Linear Models for Panel Data
   8 HOMEPAGE=               https://cran.r-project.org/package=plm
   9 CONTACT=                CRAN_Automaton[cran@ironwolf.systems]
  10
  11 DOWNLOAD_GROUPS=        main
  12 SITES[main]=            CRAN/src/contrib
  13 DISTFILE[1]=            plm_2.6-0.tar.gz:main
  14 DIST_SUBDIR=            CRAN
  15 DF_INDEX=               1
  16 SPKGS[standard]=        single
  17
  18 OPTIONS_AVAILABLE=      none
  19 OPTIONS_STANDARD=       none
  20
  21 BUILDRUN_DEPENDS=       R-bdsmatrix:single:standard
  22                         R-collapse:single:standard
  23                         R-zoo:single:standard
  24                         R-sandwich:single:standard
  25                         R-lmtest:single:standard
  26                         R-maxLik:single:standard
  27                         R-Rdpack:single:standard
  28                         R-Formula:single:standard
  29
  30 USES=                   cran gmake
  31
  32 DISTNAME=               plm
  33
  34 GENERATED=              yes
  35
  36 INSTALL_REQ_TOOLCHAIN=  yes
  37
  38 [FILE:1063:descriptions/desc.single]
  39 plm: Linear Models for Panel Data
  40
  41 A set of estimators for models and (robust) covariance matrices, and tests
  42 for panel data econometrics, including within/fixed effects, random
  43 effects, between, first-difference, nested random effects as well as
  44 instrumental-variable (IV) and Hausman-Taylor-style models, panel
  45 generalized method of moments (GMM) and general FGLS models, mean groups
  46 (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP)
  47 estimators with common factors, variable coefficients and limited dependent
  48 variables models. Test functions include model specification, serial
  49 correlation, cross-sectional dependence, panel unit root and panel Granger
  50 (non-)causality. Typical references are general econometrics text books
  51 such as Baltagi (2021), Econometric Analysis of Panel Data,
  52 ISBN-13:978-3-030-53952-8, Hsiao (2014), Analysis of Panel Data &lt;<a
  53 href="https://doi.org/10.1017%2FCBO9781139839327">doi:10.1017/CBO9781139839327</a>&gt;,
  54 and Croissant and Millo (2018), Panel Data Econometrics with R,
  55 ISBN-13:978-1-118-94918-4.
  56
  57
  58 [FILE:100:distinfo]
  59 db170391d61199eb162d7a2c58fb952b0796aca9a13f4a618624a292d30d239a      1650312 CRAN/plm_2.6-0.tar.gz
  60