Ravenports generated: 30 Oct 2023 13:11
[ravenports.git] / bucket_2A / R-plm
1 # Buildsheet autogenerated by ravenadm tool -- Do not edit.
2
3 NAMEBASE=               R-plm
4 VERSION=                2.6-3
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                         https://loki.dragonflybsd.org/cranfiles/
14 DISTFILE[1]=            plm_2.6-3.tar.gz:main
15 DIST_SUBDIR=            CRAN
16 DF_INDEX=               1
17 SPKGS[standard]=        single
18
19 OPTIONS_AVAILABLE=      none
20 OPTIONS_STANDARD=       none
21
22 BUILDRUN_DEPENDS=       R-bdsmatrix:single:standard
23                         R-collapse:single:standard
24                         R-zoo:single:standard
25                         R-sandwich:single:standard
26                         R-lmtest:single:standard
27                         R-maxLik:single:standard
28                         R-Rdpack:single:standard
29                         R-Formula:single:standard
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 daab0b875becc2cc84af2fe748261d5f8a994fbbfac5a169413a718566e74c03      2052958 CRAN/plm_2.6-3.tar.gz
65