and Alessandro Laio (Science, 2014 vol. 344). It can handle large datasets
(> 100, 000 samples) very efficiently. It was initially implemented by
Thomas Lin Pedersen, with inputs from Sean Hughes and later improved by
Xiaojie Qiu to handle large datasets with kNNs.

The estimated density ratio function can be used in many applications such as
the inlier-based outlier detection, covariate shift adaptation and etc.
person("Koji", "Makiyama", , "hoxo.smile@gmail.com", c("aut", "cre"))
Suggests: graphics, knitr, mvtnorm, rmarkdown, stats

The implemented methods are uLSIF (Hido et al. (2011) <doi:10.1007/s10115-010-0283-2>)
Suggests: graphics, knitr, mvtnorm, rmarkdown, stats, testthat

anomaly detection, change-point detection, covariate shift adaptation.
The implemented methods are uLSIF (Hido et al. (2011) <doi:10.1007/s10115-010-0283-2>),

Title: Density strips and other methods for compactly illustrating distributions
Description: Graphical methods for compactly illustrating probability distributions, including density strips, density regions, sectioned density plots and varying width strips.
Packaged: Fri Aug 15 14:00:42 2008; chris

Packaged: Thu Aug 21 20:12:41 2008; chris

Packaged: Mon Nov  3 10:47:18 2008; chris

Title: Density strips and other methods for compactly illustrating
Description: Graphical methods for compactly illustrating probability
distributions, including density strips, density regions,
sectioned density plots and varying width strips.
Packaged: Mon Mar 23 11:52:00 2009; chris

Title: Density Strips and Other Methods for Compactly Illustrating

Title: Simple Dengue Test and Vaccinate Cost Thresholds
Maintainer: Carl A. B. Pearson <carl.pearson@lshtm.ac.uk>
Description: Provides the mathematical model described by "Serostatus Testing & Dengue Vaccine Cost-Benefit Thresholds"
in <arXiv:1904.00214>.  Using the functions in the package,
that analysis can be repeated using sample life histories, either synthesized from local seroprevalence data
using other functions in this package (as in the manuscript) or from some other source.
The package provides a vignette which walks through the analysis in the publication, as well as a function
to generate a project skeleton for such an analysis.
Suggests: data.table, testthat, usethis, devtools, roxygen2, jsonlite,
ggplot2, cowplot, directlabels, rmarkdown, knitr