From b74f64a960542b0679ab13de0dd28adc496cf084 Mon Sep 17 00:00:00 2001 From: Ricardo Wurmus Date: Mon, 2 May 2016 10:55:29 +0200 Subject: gnu: Add r-xnomial. * gnu/packages/statistics.scm (r-xnomial): New variable. --- gnu/packages/statistics.scm | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) (limited to 'gnu') diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm index 2178984d04..3d0faf7572 100644 --- a/gnu/packages/statistics.scm +++ b/gnu/packages/statistics.scm @@ -1828,6 +1828,34 @@ documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an XPath \"interpreter\".") (license license:bsd-2))) +(define-public r-xnomial + (package + (name "r-xnomial") + (version "1.0.4") + (source + (origin (method url-fetch) + (uri (cran-uri "XNomial" version)) + (sha256 + (base32 + "1mwx302576rmsjllbq2clfxilm3hkyp5bw0wmwqbn0kgv5wpy8z6")))) + (properties (quasiquote ((upstream-name . "XNomial")))) + (build-system r-build-system) + (home-page "http://cran.r-project.org/web/packages/XNomial") + (synopsis "Goodness-of-Fit test for multinomial data") + (description + "This package provides an exact Goodness-of-Fit test for +multinomial data with fixed probabilities. It can be used to +determine whether a set of counts fits a given expected ratio. To see +whether a set of observed counts fits an expectation, one can examine +all possible outcomes with @code{xmulti()} or a random sample of them +with @code{xmonte()} and find the probability of an observation +deviating from the expectation by at least as much as the observed. +As a measure of deviation from the expected, one can use the +log-likelihood ratio, the multinomial probability, or the classic +chi-square statistic. A histogram of the test statistic can also be +plotted and compared with the asymptotic curve.") + (license (list license:gpl2+ license:gpl3+)))) + (define-public r-lambda-r (package (name "r-lambda-r") -- cgit v1.2.3