Package: gofreg 1.0.0
gofreg: Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression
Provides statistical methods to check if a parametric family of conditional density functions fits to some given dataset of covariates and response variables. Different test statistics can be used to determine the goodness-of-fit of the assumed model, see Andrews (1997) <doi:10.2307/2171880>, Bierens & Wang (2012) <doi:10.1017/S0266466611000168>, Dikta & Scheer (2021) <doi:10.1007/978-3-030-73480-0> and Kremling & Dikta (2024) <doi:10.48550/arXiv.2409.20262>. As proposed in these papers, the corresponding p-values are approximated using a parametric bootstrap method.
Authors:
gofreg_1.0.0.tar.gz
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gofreg_1.0.0.tgz(r-4.6-any)gofreg_1.0.0.tgz(r-4.5-any)
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gofreg_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gofreg/json (API)
| # Install 'gofreg' in R: |
| install.packages('gofreg', repos = c('https://gkremling.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gkremling/gofreg/issues
Pkgdown/docs site:https://gkremling.github.io
Last updated from:bab42b3819. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 152 | ||
| source / vignettes | OK | 233 | ||
| linux-release | OK | 138 | ||
| macos-release | OK | 163 | ||
| macos-oldrel | OK | 174 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 101 | ||
| windows-oldrel | OK | 110 | ||
| wasm-release | OK | 121 |
Exports:CondKolmbXYCondKolmXYCondKolmYCondKolmY_RCMExpGLMGammaGLMGLMGLM.newGOFTestloglik_xyloglik_xzdMEPNegBinomGLMNormalGLMParamRegrModelPoissonGLMresample_paramresample_param_censresample_param_rsmplxSICMTestStatisticWeibullGLM
Dependencies:backportscheckmateclicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMatrixpillarpkgconfigR6RColorBrewerrlangS7scalessurvivaltibbletidyselectutf8vctrsviridisLitewithr
Last update: 2024-10-04
Started: 2024-03-22
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Started: 2024-02-22
Last update: 2024-03-22
Started: 2024-03-22