Facilitates estimation of full univariate and bivariate probability density functions and cumulative distribution functions along with full quantile functions (univariate) and nonparametric correlation (bivariate) using Hermite series based estimators. These estimators are particularly useful in the sequential setting (both stationary and non-stationary) and one-pass batch estimation setting for large data sets. Based on: Stephanou, Michael, Varughese, Melvin and Macdonald, Iain. "Sequential quantiles via Hermite series density estimation." Electronic Journal of Statistics 11.1 (2017): 570-607 <doi:10.1214/17-EJS1245>, Stephanou, Michael and Varughese, Melvin. "On the properties of Hermite series based distribution function estimators." Metrika (2020) <doi:10.1007/s00184-020-00785-z> and Stephanou, Michael and Varughese, Melvin. "Sequential estimation of Spearman rank correlation using Hermite series estimators." Journal of Multivariate Analysis (2021) <doi:10.1016/j.jmva.2021.104783>.
Version: 2.3.1 Depends: R (≥ 3.6.0) Imports: Rcpp (≥ 1.0.5), methods, RcppParallel (≥ 5.1.1) LinkingTo: Rcpp, BH, RcppParallel Suggests: testthat, magrittr, knitr, rmarkdown, dplyr, data.table, ggplot2, DT, mvtnorm, patchwork, colorspace Published: 2024-03-06 DOI: 10.32614/CRAN.package.hermiter Author: Michael Stephanou [aut, cre], Melvin Varughese [ctb] Maintainer: Michael Stephanou <michael.stephanou at gmail.com> BugReports: https://github.com/MikeJaredS/hermiter/issues License: MIT + file LICENSE URL: https://github.com/MikeJaredS/hermiter NeedsCompilation: yes SystemRequirements: GNU make Citation: hermiter citation info Materials: README NEWS CRAN checks: hermiter results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hermiter to link to this page.
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