Discrete Distribution Approximations

Creates discretised versions of continuous distribution functions by mapping continuous values to an underlying discrete grid, based on a (uniform) frequency of discretisation, a valid discretisation point, and an integration range. For a review of discretisation methods, see Chakraborty (2015) .


distcrete

Project Status: Active – The project has reached a stable, usable state and is being actively developed.

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distcrete takes a distribution and a set of parameters and returns a list object with functions as elements. Each one is the equivalent to the function calls we typically expect to be able to do in R for a given distribution:

  • Density e.g.dnorm
  • Distribution function e.g. pnorm
  • Quantile function e.g. qnorm
  • Random generation e.g. rnorm

Each function created by distcrete corresponds to the first letter of the non-discrete equivalent.

set.seed(415)
d0 <- distcrete::distcrete("gamma", 1, shape = 3, w = 0)
d0$d(1:10)
#>  [6] 0.032332641 0.015882196 0.007521773 0.003462799 0.001558522
d0$p(c(.1,.5))
#> [1] 0.09958372 0.19115317
d0$q(c(.1,.5))
#> [1] 0 1
d0$r(10)
#>  [1]  2  3  1  2 12  2  2  4  5  3

Allowed distributions

You can use any distribution that conforms to the following expectations:

  • It has a distribution function like p[dist name] available
  • It has a quantile function like q[dist name] available

These can be loaded from a package or created on the fly, but must exist when the distcrete() function is called.

Installation

You can install it from CRAN with:

install.packages("distcrete")

You can install distcrete the most up to date version from github with:

# install.packages("devtools")
devtools::install_github("reconhub/distcrete")

Tests

devtools::test()
#> Loading distcrete
#> Loading required package: testthat
#> Testing distcrete
#> distcrete: .....................................................................................................................................
#> utils: ...............
#> 
#> DONE ======================================================================

News

distcrete 1.0.3

  • New to CRAN

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("distcrete")

1.0.3 by Steph Locke, a year ago


https://github.com/reconhub/distcrete


Report a bug at https://github.com/reconhub/distcrete/issues


Browse source code at https://github.com/cran/distcrete


Authors: Steph Locke [cre] , Rich FitzJohn [aut] , Anne Cori [aut] , Thibaut Jombart [aut]


Documentation:   PDF Manual  


Task views: Probability Distributions


MIT + file LICENSE license


Suggests knitr, rmarkdown, testthat


Imported by earlyR, epitrix, projections.


See at CRAN