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-4.7)tpr_0.3-3.zip(r-4.6)tpr_0.3-3.zip(r-4.5)
tpr_0.3-3.tgz(r-4.6-x86_64)tpr_0.3-3.tgz(r-4.6-arm64)tpr_0.3-3.tgz(r-4.5-x86_64)tpr_0.3-3.tgz(r-4.5-arm64)
tpr_0.3-3.tar.gz(r-4.7-arm64)tpr_0.3-3.tar.gz(r-4.7-x86_64)tpr_0.3-3.tar.gz(r-4.6-arm64)tpr_0.3-3.tar.gz(r-4.6-x86_64)
tpr_0.3-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:84461c594e. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 127 | ||
| linux-devel-x86_64 | OK | 131 | ||
| source / vignettes | OK | 149 | ||
| linux-release-arm64 | OK | 154 | ||
| linux-release-x86_64 | OK | 123 | ||
| macos-release-arm64 | OK | 133 | ||
| macos-release-x86_64 | OK | 283 | ||
| macos-oldrel-arm64 | OK | 138 | ||
| macos-oldrel-x86_64 | OK | 252 | ||
| windows-devel | OK | 109 | ||
| windows-release | OK | 85 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 96 |
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 |
