Package: LPsmooth 0.1.3
LPsmooth: LP Smoothed Inference and Graphics
Classical tests of goodness-of-fit aim to validate the conformity of a postulated model to the data under study. In their standard formulation, however, they do not allow exploring how the hypothesized model deviates from the truth nor do they provide any insight into how the rejected model could be improved to better fit the data. To overcome these shortcomings, we establish a comprehensive framework for goodness-of-fit which naturally integrates modeling, estimation, inference and graphics. In this package, the deviance tests and comparison density plots are performed to conduct the LP smoothed inference, where the letter L denotes nonparametric methods based on quantiles and P stands for polynomials. Simulations methods are used to perform variance estimation, inference and post-selection adjustments. Algeri S. and Zhang X. (2020) <arxiv:2005.13011>.
Authors:
LPsmooth_0.1.3.tar.gz
LPsmooth_0.1.3.zip(r-4.5)LPsmooth_0.1.3.zip(r-4.4)LPsmooth_0.1.3.zip(r-4.3)
LPsmooth_0.1.3.tgz(r-4.4-any)LPsmooth_0.1.3.tgz(r-4.3-any)
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LPsmooth.pdf |LPsmooth.html✨
LPsmooth/json (API)
# Install 'LPsmooth' in R: |
install.packages('LPsmooth', repos = c('https://xiangyu2022.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 4 years agofrom:14f21c681e. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-win | OK | Sep 27 2024 |
R-4.5-linux | OK | Oct 27 2024 |
R-4.4-win | OK | Oct 27 2024 |
R-4.4-mac | OK | Oct 27 2024 |
R-4.3-win | OK | Oct 27 2024 |
R-4.3-mac | OK | Oct 27 2024 |
Exports:CDplotd_hatdmixnegbinomdmixtruncnormfind_h_contfind_h_discrmixnegbinomrmixtruncnorm
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacheckmatecliclustercolorspacecowplotcpp11data.tableDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4LPBkgLPGraphmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivorthopolynompbkrtestpillarpkgconfigPMApolynompurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrpartrstudioapisassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytextruncnormutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
CD-plot and Deviance test | CDplot |
Comparison density estimate | d_hat |
Probability mass function of a mixture of negative binomials | dmixnegbinom |
Probability density function of a mixture of truncated normals | dmixtruncnorm |
Finding optimal instrumental density. | find_h_cont |
Finding optimal instrumental mass function. | find_h_disc |
Random numbers generator for negative binomial mixtures | rmixnegbinom |
Random numbers generator for truncated normal mixtures | rmixtruncnorm |