bucket_2A/R-plm

   1 # Buildsheet autogenerated by ravenadm tool -- Do not edit.
   2
   3 NAMEBASE=               R-plm
   4 VERSION=                2.6-4
   5 KEYWORDS=               cran
   6 VARIANTS=               std
   7 SDESC[std]=             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                         https://loki.dragonflybsd.org/cranfiles/
  14 DISTFILE[1]=            plm_2.6-4.tar.gz:main
  15 DIST_SUBDIR=            CRAN
  16 DF_INDEX=               1
  17 SPKGS[std]=             single
  18
  19 OPTIONS_AVAILABLE=      none
  20 OPTIONS_STANDARD=       none
  21
  22 BUILDRUN_DEPENDS=       R-bdsmatrix:single:std
  23                         R-collapse:single:std
  24                         R-zoo:single:std
  25                         R-sandwich:single:std
  26                         R-lmtest:single:std
  27                         R-maxLik:single:std
  28                         R-Rdpack:single:std
  29                         R-Formula:single:std
  30
  31 USES=                   cran gmake
  32
  33 DISTNAME=               plm
  34
  35 GENERATED=              yes
  36
  37 INSTALL_REQ_TOOLCHAIN=  yes
  38
  39 [FILE:1241:descriptions/desc.single]
  40 plm: Linear Models for Panel Data
  41
  42 A set of estimators for models and (robust) covariance matrices, and tests
  43 for panel data econometrics, including within/fixed effects, random
  44 effects, between, first-difference, nested random effects as well as
  45 instrumental-variable (IV) and Hausman-Taylor-style models, panel
  46 generalized method of moments (GMM) and general FGLS models, mean groups
  47 (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP)
  48 estimators with common factors, variable coefficients and limited dependent
  49 variables models. Test functions include model specification, serial
  50 correlation, cross-sectional dependence, panel unit root and panel Granger
  51 (non-)causality. Typical references are general econometrics text books
  52 such as Baltagi (2021), Econometric Analysis of Panel Data (&lt;<a
  53 href="https://doi.org/10.1007%2F978-3-030-53953-5"
  54 target="_top">doi:10.1007/978-3-030-53953-5</a>&gt;), Hsiao (2014),
  55 Analysis of Panel Data (&lt;<a
  56 href="https://doi.org/10.1017%2FCBO9781139839327"
  57 target="_top">doi:10.1017/CBO9781139839327</a>&gt;), and Croissant and
  58 Millo (2018), Panel Data Econometrics with R (&lt;<a
  59 href="https://doi.org/10.1002%2F9781119504641"
  60 target="_top">doi:10.1002/9781119504641</a>&gt;).
  61
  62
  63 [FILE:100:distinfo]
  64 dda5bcc126dc61e593fc5104983dddd9cb3bda726a32e4744bac8a574e36ed76      2073895 CRAN/plm_2.6-4.tar.gz
  65