Package: logNormReg 0.5-0
logNormReg: log Normal Linear Regression
Functions to fits simple linear regression models with log normal errors and identity link, i.e. taking the responses on the original scale. See Muggeo (2018) <doi:10.13140/RG.2.2.18118.16965>.
Authors:
logNormReg_0.5-0.tar.gz
logNormReg_0.5-0.zip(r-4.7)logNormReg_0.5-0.zip(r-4.6)logNormReg_0.5-0.zip(r-4.5)
logNormReg_0.5-0.tgz(r-4.6-any)logNormReg_0.5-0.tgz(r-4.5-any)
logNormReg_0.5-0.tar.gz(r-4.7-any)logNormReg_0.5-0.tar.gz(r-4.6-any)
logNormReg_0.5-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
logNormReg/json (API)
NEWS
| # Install 'logNormReg' in R: |
| install.packages('logNormReg', repos = c('https://vitomuggeo.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a5c9af006d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 140 | ||
| linux-release-x86_64 | OK | 96 | ||
| macos-release-arm64 | OK | 209 | ||
| macos-oldrel-arm64 | OK | 180 | ||
| windows-devel | OK | 68 | ||
| windows-release | OK | 59 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 87 |
Exports:confint.lognlmextractAIC.lognlmlogLik.lognlmlognlmlognlm.fitprint.lognlmprint.summary.lognlmsummary.lognlmvcov.lognlm
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| log Normal Linear Regression | logNormReg-package logNormReg |
| Confidence intervals for the parameters in log normal regression | confint.lognlm |
| Log Likelihood for log Normal linear regression | extractAIC.lognlm logLik.lognlm |
| Multiple linear regression with log Normal errors | lognlm |
| The fitter function for log Normal Linear Models | lognlm.fit |
| Air quality in Palermo (Italy), 1997-2001 | palermo |
| PM2.5 and PM10 measurements in Paris in 2019 | paris |
| Print method for the lognlm class | print.lognlm |
| Summarizing model fits for log Normal regression | print.summary.lognlm summary.lognlm |
| Covariance matrix for lognlm fits | vcov.lognlm |
