Package: tpr 0.3-3
tpr: Temporal Process Regression
Regression models for temporal process responses with time-varying coefficient.
Authors:
tpr_0.3-3.tar.gz
tpr_0.3-3.zip(r-4.5)tpr_0.3-3.zip(r-4.4)tpr_0.3-3.zip(r-4.3)
tpr_0.3-3.tgz(r-4.5-x86_64)tpr_0.3-3.tgz(r-4.5-arm64)tpr_0.3-3.tgz(r-4.4-x86_64)tpr_0.3-3.tgz(r-4.4-arm64)tpr_0.3-3.tgz(r-4.3-x86_64)tpr_0.3-3.tgz(r-4.3-arm64)
tpr_0.3-3.tar.gz(r-4.5-noble)tpr_0.3-3.tar.gz(r-4.4-noble)
tpr_0.3-3.tgz(r-4.4-emscripten)tpr_0.3-3.tgz(r-4.3-emscripten)
tpr.pdf |tpr.html✨
tpr/json (API)
| # Install 'tpr' in R: |
| install.packages('tpr', repos = c('https://jun-yan.r-universe.dev', 'https://cloud.r-project.org')) |
- dnase - RhDNase Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:84461c594e. Checks:12 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 11 2025 |
| R-4.5-win-x86_64 | OK | Mar 11 2025 |
| R-4.5-mac-x86_64 | OK | Mar 11 2025 |
| R-4.5-mac-aarch64 | OK | Mar 11 2025 |
| R-4.5-linux-x86_64 | OK | Mar 11 2025 |
| R-4.4-win-x86_64 | OK | Mar 11 2025 |
| R-4.4-mac-x86_64 | OK | Mar 11 2025 |
| R-4.4-mac-aarch64 | OK | Mar 11 2025 |
| R-4.4-linux-x86_64 | OK | Mar 11 2025 |
| R-4.3-win-x86_64 | OK | Mar 11 2025 |
| R-4.3-mac-x86_64 | OK | Mar 11 2025 |
| R-4.3-mac-aarch64 | OK | Mar 11 2025 |
Exports:ci.plotcst.fit.ffgof.test.boots.ffgof.test.boots.pfgof.test.int.ffsig.test.boots.ffsig.test.int.fftpr
Dependencies:lgtdl
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Temporal Process Regression | tpr-package |
| Confidence Interval Plot | ci.plot |
| rhDNase Data | dnase |
| Temporal Process Regression | tpr |
| Constant fit of coefficients in a TPR model | cst.fit.ff |
| Significance and Goodness-of-fit Test of TPR | gof.test.boots.ff gof.test.boots.pf gof.test.int.ff sig.test.boots.ff sig.test.int.ff tpr.test |
