Package: tlm 0.2.0
tlm: Effects under Linear, Logistic and Poisson Regression Models with Transformed Variables
Computation of effects under linear, logistic and Poisson regression models with transformed variables. Logarithm and power transformations are allowed. Effects can be displayed both numerically and graphically in both the original and the transformed space of the variables. The methods are described in Barrera-Gomez and Basagana (2015) <doi:10.1097/EDE.0000000000000247>.
Authors:
tlm_0.2.0.tar.gz
tlm_0.2.0.zip(r-4.7)tlm_0.2.0.zip(r-4.6)tlm_0.2.0.zip(r-4.5)
tlm_0.2.0.tgz(r-4.6-any)tlm_0.2.0.tgz(r-4.5-any)
tlm_0.2.0.tar.gz(r-4.7-any)tlm_0.2.0.tar.gz(r-4.6-any)
tlm_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tlm/json (API)
NEWS
| # Install 'tlm' in R: |
| install.packages('tlm', repos = c('https://jobago.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:c4b0aa4fa8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 224 | ||
| linux-release-x86_64 | OK | 115 | ||
| macos-release-arm64 | OK | 158 | ||
| macos-oldrel-arm64 | OK | 139 | ||
| windows-devel | OK | 72 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 92 | ||
| wasm-release | OK | 94 |
Exports:effecteffectInfoMYtlm
Dependencies:boot
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Birth Weight and Cord Serum Cotinine | cotinine |
| Effects Estimate in Linear, Logistic and Poisson Regression Models with Transformed Variables | effect print.effect |
| Interpretation of Effects in Linear, Logistic and Poisson Models with Transformed Variables | effectInfo print.effectInfo |
| Cat Allergen Concentrations | feld1 |
| Glucose and Triglycerides Levels in Blood | glucose |
| Intima Media Thickness of the Carotid Artery | imt |
| Expected Adjusted Median or Generalized Mean | MY print.MY |
| Summarizing the Model Fitting | print.summary.tlm summary.tlm |
| Fitting, Reporting and Visualizing Linear, Logistic and Poisson Regression Models with Transformed Variables | plot.tlm print.tlm tlm |
