Package: conformalInference.multi 1.1.1
conformalInference.multi: Conformal Inference Tools for Regression with Multivariate Response
It computes full conformal, split conformal and multi split conformal prediction regions when the response variable is multivariate (i.e. dimension is greater than one). Moreover, the package also contain plot functions to visualize the output of the full and split conformal functions. To guarantee consistency, the package structure mimics the univariate 'conformalInference' package of professor Ryan Tibshirani. The main references for the code are: Lei et al. (2016) <arxiv:1604.04173>, Diquigiovanni, Fontana, and Vantini (2021) <arxiv:2102.06746>, Diquigiovanni, Fontana, and Vantini (2021) <arxiv:2106.01792>, Solari, and Djordjilovic (2021) <arxiv:2103.00627>.
Authors:
conformalInference.multi_1.1.1.tar.gz
conformalInference.multi_1.1.1.zip(r-4.5)conformalInference.multi_1.1.1.zip(r-4.4)conformalInference.multi_1.1.1.zip(r-4.3)
conformalInference.multi_1.1.1.tgz(r-4.4-any)conformalInference.multi_1.1.1.tgz(r-4.3-any)
conformalInference.multi_1.1.1.tar.gz(r-4.5-noble)conformalInference.multi_1.1.1.tar.gz(r-4.4-noble)
conformalInference.multi_1.1.1.tgz(r-4.4-emscripten)conformalInference.multi_1.1.1.tgz(r-4.3-emscripten)
conformalInference.multi.pdf |conformalInference.multi.html✨
conformalInference.multi/json (API)
NEWS
# Install 'conformalInference.multi' in R: |
install.packages('conformalInference.multi', repos = c('https://paolo-vergo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ryantibs/conformal/issues
- bikeMi - Log of all bike rentals in Milan in 2016 form January to March
Last updated 3 years agofrom:12671e6e37. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 21 2024 |
R-4.5-win | NOTE | Oct 21 2024 |
R-4.5-linux | NOTE | Oct 21 2024 |
R-4.4-win | OK | Oct 21 2024 |
R-4.4-mac | OK | Oct 21 2024 |
R-4.3-win | OK | Oct 21 2024 |
R-4.3-mac | OK | Oct 21 2024 |
Exports:computing_s_regressionconformal.multidim.fullconformal.multidim.jackplusconformal.multidim.msplitconformal.multidim.splitelastic.funslasso.funslm_multimean_multiplot_multidimridge.funs
Dependencies:base64encclicodetoolscolorspacecpp11digestextrafontextrafontdbfansifarverfastmapfontBitstreamVerafontLiberationfontquiverforeachfuturefuture.applygdtoolsggplot2glmnetglobalsgluegridExtragtablehrbrthemeshtmltoolsisobanditeratorslabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigR6RColorBrewerRcppRcppEigenrlangRttf2pt1scalesshapesurvivalsystemfontstibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Log of all bike rentals in Milan in 2016 form January to March | bikeMi |
Computing modulation function for residuals. | computing_s_regression |
Full Conformal Prediction Regions, Multivariate Response | conformal.multidim.full |
Multivariate Response Jackknife + Prediction Regions | conformal.multidim.jackplus |
Multi Split Conformal Prediction Regions with Multivariate Response | conformal.multidim.msplit |
Split conformal prediction intervals with Multivariate Response | conformal.multidim.split |
Elastic Net, Lasso, Ridge Regression Training and Prediction Functions | elastic.funs lasso.funs ridge.funs |
Linear Modeling of Multivariate Response | lm_multi |
Mean of Multivariate Response | mean_multi |
Plot Confidence Regions obtained with Split Conformal | plot_multidim |