Package: iprior 0.7.4
iprior: Regression Modelling using I-Priors
Provides methods to perform and analyse I-prior regression models. Estimation is done either via direct optimisation of the log-likelihood or an EM algorithm.
Authors:
iprior_0.7.4.tar.gz
iprior_0.7.4.zip(r-4.5)iprior_0.7.4.zip(r-4.4)iprior_0.7.4.zip(r-4.3)
iprior_0.7.4.tgz(r-4.4-x86_64)iprior_0.7.4.tgz(r-4.4-arm64)iprior_0.7.4.tgz(r-4.3-x86_64)iprior_0.7.4.tgz(r-4.3-arm64)
iprior_0.7.4.tar.gz(r-4.5-noble)iprior_0.7.4.tar.gz(r-4.4-noble)
iprior_0.7.4.tgz(r-4.4-emscripten)iprior_0.7.4.tgz(r-4.3-emscripten)
iprior.pdf |iprior.html✨
iprior/json (API)
NEWS
# Install 'iprior' in R: |
install.packages('iprior', repos = c('https://haziqj.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/haziqj/iprior/issues
- hsb - High school and beyond dataset
- hsbsmall - High school and beyond dataset
- pollution - Air pollution and mortality
- tecator.cv - Results of I-prior cross-validation experiment on Tecator data set
fisher-informationfunctionalgaussian-processesgprhilbertkernelkreinlongitudinalmultilevelpriorsrandom-effectsregressionreproducingrkhsrkksspace
Last updated 8 months agofrom:c9967bb9fd. Checks:OK: 8 ERROR: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win-x86_64 | ERROR | Oct 29 2024 |
R-4.5-linux-x86_64 | OK | Oct 29 2024 |
R-4.4-win-x86_64 | OK | Oct 29 2024 |
R-4.4-mac-x86_64 | OK | Oct 29 2024 |
R-4.4-mac-aarch64 | OK | Oct 29 2024 |
R-4.3-win-x86_64 | OK | Oct 29 2024 |
R-4.3-mac-x86_64 | OK | Oct 29 2024 |
R-4.3-mac-aarch64 | OK | Oct 29 2024 |
Exports:as.timecheck_thetadec_placdecimal_placeeigenCppfastSquarefastVDiaggen_multilevelgen_smoothget_convergenceget_degreeget_estlget_hurstget_hypget_interceptget_kern_matrixget_kernelsget_lambdaget_lengthscaleget_methodget_niterget_offsetget_prederrorget_psiget_seget_sizeget_thetaget_timeget_ygg_col_huegg_color_huegg_colour_hueggColPaliprioriprior_cvipriorColPalis.ipriorKernelis.ipriorModis.kern_canonicalis.kern_fbmis.kern_linearis.kern_pearsonis.kern_polyis.kern_seis.nystromkern_canonicalkern_fbmkern_linearkern_pearsonkern_polykern_sekernLplot_fittedplot_fitted_multilevelplot_iterplot_ppcplot_residsummary.ipriorMod
Dependencies:clicodetoolscolorspacedoSNOWfansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppEigenreshape2rlangscalessnowstringistringrtibbleutf8vctrsviridisLitewithr
An R Package for Regression Modelling Using I-priors
Rendered fromiprior_paper.pdf.asis
usingR.rsp::asis
on Oct 29 2024.Last update: 2024-04-01
Started: 2017-11-02
Closed-form EM algorithm matrix manipulations
Rendered fromkernel_matrix.Rmd
usingknitr::rmarkdown
on Oct 29 2024.Last update: 2024-04-01
Started: 2017-01-11
Regression with a functional covariate: Cross-validation analysis of the Tecator data set
Rendered fromtecator.Rmd
usingknitr::rmarkdown
on Oct 29 2024.Last update: 2024-04-01
Started: 2017-11-27