Package: hpa 1.3.3
hpa: Distributions Hermite Polynomial Approximation
Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on Hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.
Authors:
hpa_1.3.3.tar.gz
hpa_1.3.3.tar.gz(r-4.5-noble)hpa_1.3.3.tar.gz(r-4.4-noble)
hpa_1.3.3.tgz(r-4.4-emscripten)hpa_1.3.3.tgz(r-4.3-emscripten)
hpa.pdf |hpa.html✨
hpa/json (API)
# Install 'hpa' in R: |
install.packages('hpa', 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 1 years agofrom:de4886440c. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 28 2024 |
R-4.5-linux-x86_64 | OK | Nov 28 2024 |
Exports:bsplineCombbsplineEstimatebsplineGeneratecoef.hpaBinarycoef.hpaMLcoef.hpaSelectiondhpadhpa0dhpaDiffdhsadnorm_paralleldtrhpaehpaehpaDiffehsaetrhpahpaBinaryhpaMLhpaSelectionihpaihpaDiffitrhpalogLik.hpaBinarylogLik.hpaMLlogLik.hpaSelectionmecdfnormalMomentphpaphpa0plot.hpaBinaryplot.hpaMLplot.hpaSelectionpnorm_parallelpolynomialIndexpredict.hpaBinarypredict.hpaMLpredict.hpaSelectionprint.hpaBinaryprint.hpaMLprint.hpaSelectionprint.summary.hpaBinaryprint.summary.hpaMLprint.summary.hpaSelectionprintPolynomialqhparhpasummary.hpaBinarysummary.hpaMLsummary.hpaSelectiontruncatedNormalMomentvcov.hpaBinaryvcov.hpaMLvcov.hpaSelection
Dependencies:RcppRcppArmadilloRcppParallel