Simple example using Trade data | Estimation | Clustering the standard-errors | Using other Likelihoods | Viewing the results in R | Exporting the results to Latex | An elaborate example | Extracting the fixed-effects | Additional features | Non-linear in parameters example | Adding fixed-effects to non-linear in parameters models | Using multi-cores | Troubleshooting | Collineartiy | A note on precision
Package: FENmlm 2.4.4
FENmlm: Fixed Effects Nonlinear Maximum Likelihood Models
Efficient estimation of maximum likelihood models with multiple fixed-effects. Standard-errors can easily and flexibly be clustered and estimations exported.
Authors:
FENmlm_2.4.4.tar.gz
FENmlm_2.4.4.zip(r-4.7)FENmlm_2.4.4.zip(r-4.6)FENmlm_2.4.4.zip(r-4.5)
FENmlm_2.4.4.tgz(r-4.6-x86_64)FENmlm_2.4.4.tgz(r-4.6-arm64)FENmlm_2.4.4.tgz(r-4.5-x86_64)FENmlm_2.4.4.tgz(r-4.5-arm64)
FENmlm_2.4.4.tar.gz(r-4.7-arm64)FENmlm_2.4.4.tar.gz(r-4.7-x86_64)FENmlm_2.4.4.tar.gz(r-4.6-arm64)FENmlm_2.4.4.tar.gz(r-4.6-x86_64)
FENmlm_2.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FENmlm/json (API)
| # Install 'FENmlm' in R: |
| install.packages('FENmlm', repos = c('https://lrberge.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- trade - Trade data sample
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7d3e171f4a. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 154 | ||
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 185 | ||
| linux-release-arm64 | OK | 123 | ||
| linux-release-x86_64 | OK | 134 | ||
| macos-release-arm64 | OK | 157 | ||
| macos-release-x86_64 | OK | 233 | ||
| macos-oldrel-arm64 | OK | 111 | ||
| macos-oldrel-x86_64 | OK | 222 | ||
| windows-devel | OK | 152 | ||
| windows-release | OK | 135 | ||
| windows-oldrel | OK | 120 | ||
| wasm-release | OK | 113 |
