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-4.5)logNormReg_0.5-0.zip(r-4.4)logNormReg_0.5-0.zip(r-4.3)
logNormReg_0.5-0.tgz(r-4.4-any)logNormReg_0.5-0.tgz(r-4.3-any)
logNormReg_0.5-0.tar.gz(r-4.5-noble)logNormReg_0.5-0.tar.gz(r-4.4-noble)
logNormReg_0.5-0.tgz(r-4.4-emscripten)logNormReg_0.5-0.tgz(r-4.3-emscripten)
logNormReg.pdf |logNormReg.html✨
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 3 years agofrom:a5c9af006d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
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 |
