Package: npreg 1.1.0
Nathaniel E. Helwig
npreg: Nonparametric Regression via Smoothing Splines
Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors (including random intercepts), interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for diagnostics, inference, and prediction.
Authors:
npreg_1.1.0.tar.gz
npreg_1.1.0.tar.gz(r-4.5-noble)npreg_1.1.0.tar.gz(r-4.4-noble)
npreg_1.1.0.tgz(r-4.4-emscripten)npreg_1.1.0.tgz(r-4.3-emscripten)
npreg.pdf |npreg.html✨
npreg/json (API)
# Install 'npreg' in R: |
install.packages('npreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:2338761f4c. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux | OK | Dec 01 2024 |
Exports:basis_nombasis_ordbasis_polybasis_sphbasis_tpsbasis.nombasis.ordbasis.polybasis.sphbasis.tpsbin.samplebootboot.gsmboot.smboot.ssbuild_depebuild_depe2build_rkhscharkrocheck_controlcheck_familycheck_knotcheck_typecheck_type2coef.gsmcoef.smcoef.sscolor.legendcooks.distance.gsmcooks.distance.smcooks.distance.sscov.ratiocubkern0cubkern1cubkern2deviance.gsmdeviance.smdeviance.ssdf2lambdadfbeta.gsmdfbeta.smdfbeta.ssdfbetas.gsmdfbetas.smdfbetas.ssdiagnostic.plotsfamily.gsmfit_gsmfit_smfit_ssifitted.gsmfitted.smfitted.ssgsmhatvalues.gsmhatvalues.smhatvalues.ssinfluence.gsminfluence.sminfluence.ssknot1samplinkern0linkern1linkinvdmodel.matrix.gsmmodel.matrix.smmodel.matrix.ssmsqrtNegBinnpregStartupMessagenumber2colorordkernpenalty_nompenalty_ordpenalty_polypenalty_sphpenalty_tpspenalty.nompenalty.ordpenalty.polypenalty.sphpenalty.tpsplot.boot.ssplot.gsmplot.smplot.ssplotcipred_depepred_rkhspredict.gsmpredict.smpredict.ssprint.boot.gsmprint.boot.smprint.boot.ssprint.gsmprint.smprint.ssprint.summary.gsmprint.summary.smprint.summary.sspsolveq2funq4funq6funquikern0quikern1quikern2residuals.gsmresiduals.smresiduals.ssrexpfamrowkrorstandard.gsmrstandard.smrstandard.ssrstudent.gsmrstudent.smrstudent.sssmsmooth.influencesmooth.influence.measuressssummary.gsmsummary.smsummary.sstheta.gradtheta.infotheta.mletune.acv.sstune.aic.sstune.deep.gsmtune.deep.smtune.gacv.sstune.gcv.sstune.gsmtune.mle.sstune.ocv.ssvarimpvarinfvcov.gsmvcov.smvcov.ssweights.gsmweights.smweights.sswtd.meanwtd.quantilewtd.sdwtd.var
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