Introduction | Notation and data organization | Pooled models | Fixed-effects models | Gaussian response | Poisson response | Negative binomial response | Binomial response | Random-effects models | Covariance estimation and confidence intervals | Model assessment | Hurdle models for panel counts | Computational validation | Model scope | References
This package is considered a duplicate. The official version of this package is found at:https://ielbadisy.r-universe.dev/panglm
Package: panglm 1.1.4
Imad El Badisy
panglm: Generalized Linear Models for Panel Data
Provides generalized linear models for panel data, including pooled, fixed-effects, and random-effects estimators for continuous, binary, and count outcomes. Offers a unified interface for fitting and analysing panel regression models, with efficient computation for large datasets. Estimators and tests follow standard panel-data references, including Hausman (1978) <doi:10.2307/1913827>, Chamberlain (1980) <doi:10.2307/2297110>, Allison and Waterman (2002) <doi:10.1111/1467-9531.00117>, and Croissant and Millo (2008) <doi:10.18637/jss.v027.i02>. Core numerical routines are implemented using 'Rcpp', 'RcppArmadillo', and 'RcppParallel'.
Authors:
panglm_1.1.4.tar.gz
panglm_1.1.4.zip(r-4.7-x86_64)panglm_1.1.4.zip(r-4.7-arm64)panglm_1.1.4.zip(r-4.6-x86_64)panglm_1.1.4.zip(r-4.6-arm64)
panglm_1.1.4.tar.gz(r-4.7-arm64)panglm_1.1.4.tar.gz(r-4.7-x86_64)panglm_1.1.4.tar.gz(r-4.6-arm64)panglm_1.1.4.tar.gz(r-4.6-x86_64)
panglm_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
panglm/json (API)
| # Install 'panglm' in R: |
| install.packages('panglm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ielbadisy/panglm/issues
Uses libs:
Datasets:
- copd - Synthetic COPD follow-up panel
Last updated from:a6571c2365. Checks:8 WARNING, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 170 | ||
| linux-devel-x86_64 | WARNING | 195 | ||
| source / vignettes | OK | 324 | ||
| linux-release-arm64 | WARNING | 161 | ||
| linux-release-x86_64 | WARNING | 205 | ||
| windows-devel-arm64 | WARNING | 321 | ||
| windows-devel-x86_64 | WARNING | 183 | ||
| windows-release-arm64 | WARNING | 300 | ||
| windows-release-x86_64 | WARNING | 148 | ||
| wasm-release | OK | 201 |
Exports:binomial_familygaussian_familynegbin_familypanglmpanglm_dispersiontestpanglm_hausmanpanglm_hurdlepoisson_family
Dependencies:data.tableRcppRcppArmadilloRcppParallel
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Confidence intervals for panglm coefficients | confint.panglm |
| Synthetic COPD follow-up panel | copd |
| Extract fitted values from a panglm model | fitted.panglm |
| One-row model summary of a panglm fit | glance.panglm |
| Extract the model log-likelihood | logLik.panglm |
| Fit a generalized linear model for panel data | panglm |
| Pearson chi-squared/df overdispersion test | panglm_dispersiontest |
| Hausman specification test (fixed vs. random effects) | panglm_hausman |
| Fixed-effects hurdle model for panel count data | panglm_hurdle |
| Family specifications for panglm | binomial_family gaussian_family negbin_family panglm-families poisson_family |
| Plot a fitted panglm model | plot.panglm |
| Plot a fitted panglm hurdle model | plot.panglm_hurdle |
| Predict from a fitted panglm model | predict.panglm |
| Summarize a panglm fit | summary.panglm |
| Tidy a panglm fit into a data frame of coefficients | tidy.panglm |
| Recompute the coefficient covariance matrix for a panglm fit | vcov.panglm |