r-cran-plm 2.6-3-1 source package in Ubuntu
Changelog
r-cran-plm (2.6-3-1) unstable; urgency=medium * New upstream version 2.6-3 * Reinstate HTML documentation, it is DFSG-compliant * Update standards version to 4.6.2, no changes needed. -- Sébastien Villemot <email address hidden> Sun, 11 Jun 2023 10:35:02 +0200
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Noble | release | universe | misc | |
Mantic | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-cran-plm_2.6-3-1.dsc | 2.3 KiB | ce3e317461e7eede78337fdd1ee12506ff404f06d69c3a2a7111416103dcd5b2 |
r-cran-plm_2.6-3.orig.tar.gz | 2.0 MiB | daab0b875becc2cc84af2fe748261d5f8a994fbbfac5a169413a718566e74c03 |
r-cran-plm_2.6-3-1.debian.tar.xz | 4.4 KiB | 36019e432db4370149fc4c4ba824ead29c4934cd3cc5a3c4941067b6e0987f3f |
Available diffs
- diff from 2.6-2+dfsg-1 to 2.6-3-1 (144.8 KiB)
No changes file available.
Binary packages built by this source
- r-cran-plm: GNU R estimators and tests for panel data econometrics
This R package intends to make the estimation of linear panel models
straightforward. It provides functions to estimate a wide variety of models=
and to make (robust) inference.
.
The main functions to estimate models are:
- plm: panel data estimators using lm on transformed data,
- pgmm: generalized method of moments (GMM) estimation for panel data,
- pvcm: variable coefficients models for panel data,
- pmg: mean groups (MG), demeaned MG and common correlated effects (CCEMG)
estimators.
.
Next to the model estimation functions, the package offers several functions
for statistical tests related to panel data/models.
.
Multiple functions for (robust) variance-covariance matrices are at hand as
well. The package also provides data sets to demonstrate functions and to
replicate some text book/paper results.