Package: ARCensReg 3.0.2
ARCensReg: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors
It fits a univariate left, right, or interval censored linear regression model with autoregressive errors, considering the normal or the Student-t distribution for the innovations. It provides estimates and standard errors of the parameters, predicts future observations, and supports missing values on the dependent variable. References used for this package: Schumacher, F. L., Lachos, V. H., & Dey, D. K. (2017). Censored regression models with autoregressive errors: A likelihood-based perspective. Canadian Journal of Statistics, 45(4), 375-392 <doi:10.1002/cjs.11338>. Schumacher, F. L., Lachos, V. H., Vilca-Labra, F. E., & Castro, L. M. (2018). Influence diagnostics for censored regression models with autoregressive errors. Australian & New Zealand Journal of Statistics, 60(2), 209-229 <doi:10.1111/anzs.12229>. Valeriano, K. A., Schumacher, F. L., Galarza, C. E., & Matos, L. A. (2024). Censored autoregressive regression models with Student‐t innovations. Canadian Journal of Statistics, 52(3), 804-828 <doi:10.1002/cjs.11804>.
Authors:
ARCensReg_3.0.2.tar.gz
ARCensReg_3.0.2.tar.gz(r-4.7-arm64)ARCensReg_3.0.2.tar.gz(r-4.7-x86_64)ARCensReg_3.0.2.tar.gz(r-4.6-arm64)ARCensReg_3.0.2.tar.gz(r-4.6-x86_64)
ARCensReg_3.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ARCensReg/json (API)
NEWS
| # Install 'ARCensReg' in R: |
| install.packages('ARCensReg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- CloudCeiling - Cloud ceiling height
- phosphorus - Phosphorus concentration data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1911e8bc14. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 152 | ||
| linux-devel-x86_64 | OK | 175 | ||
| source / vignettes | OK | 236 | ||
| linux-release-arm64 | OK | 166 | ||
| linux-release-x86_64 | OK | 168 | ||
| wasm-release | OK | 143 |
Exports:ARCensRegARtCensRegInfDiagrARCens
Dependencies:bitopscaToolsclicodetoolscpp11DEoptimRdoParalleldplyrexpmfarverforeachgenericsggplot2gluegmmgridExtragtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmsmmvtnormnumDerivopdisDownsamplingpbmcapplypillarpkgconfigpracmaqqconfqqplotrR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangrobustbaseS7sandwichscalessurvivaltibbletidyselecttmvtnormtwosamplesutf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Censored linear regression model with autoregressive errors | ARCensReg |
| Censored autoregressive regression model with Student-t innovations | ARtCensReg |
| Cloud ceiling height | CloudCeiling |
| Influence diagnostic in censored linear regression model with autoregressive errors | InfDiag |
| Phosphorus concentration data | phosphorus |
| Plot an ARpCRM or ARtpCRM object | plot.ARpCRM plot.ARtpCRM |
| Plot influence diagnostic measures | plot.DiagARpCRM |
| Show diagnostic residual plots | plot.residARpCRM |
| Forecast for Autoregressive censored models with Normal and Student-t innovations | predict.ARpCRM predict.ARtpCRM |
| Print an ARpCRM or ARtpCRM object | print.ARpCRM print.ARtpCRM |
| Generating censored autoregressive data | rARCens |
| Extract model residuals from ARpCRM or ARtpCRM objects | residuals.ARpCRM residuals.ARtpCRM |
| Summary of an ARpCRM or ARtpCRM object | summary.ARpCRM summary.ARtpCRM |
