Search results for "Math::GSL::Statistics"
Math::GSL::Statistics - Statistical functions
Here is a list of all the functions in this module : * "gsl_stats_mean($data, $stride, $n)" - This function returns the arithmetic mean of the array reference $data, a dataset of length $n with stride $stride. The arithmetic mean, or sample mean, is ...
HAKONH/Math-GSL-0.44 - 01 Dec 2023 19:49:12 UTC - Search in distribution- Math::GSL::Statistics - Statistical functions
- Math::GSL - Perl interface to the GNU Scientific Library (GSL)
Algorithm::ExpectationMaximization - A Perl module for clustering numerical multi-dimensional data with the Expectation-Maximization algorithm.
Algorithm::ExpectationMaximization is a *perl5* module for the Expectation-Maximization (EM) method of clustering numerical data that lends itself to modeling as a Gaussian mixture. Since the module is entirely in Perl (in the sense that it is not a ...
AVIKAK/Algorithm-ExpectationMaximization-1.22 - 11 Dec 2014 15:38:37 UTC - Search in distribution
Statistics::Multtest - Control false discovery rate in multiple test problem
For statistical test, p-value is the probability of false positives. While there are many hypothesis for testing simultaneously, the probability of getting at least one false positive would be large. Therefore the origin p-values should be adjusted t...
JOKERGOO/Statistics-Multtest-0.14 - 21 Aug 2017 01:19:38 UTC - Search in distribution
Statistics::PCA::Varimax - A Perl implementation of Varimax rotation.
Varimax rotation is a change of coordinates used in principal component analysis and factor analysis that maximizes the sum of the variances of the squared loadings matrix. This module exports a single routine 'rotate'. This routine is called in LIST...
DSTH/Statistics-PCA-Varimax-0.0-2 - 16 Dec 2009 16:21:41 UTC - Search in distribution
Statistics::FactorAnalysis - A Perl implementation of Factor Analysis using the Principal Component Method.
Factor analysis is a statistical method by which the variability of a large set of observed variables is described in terms of a smaller set of unobserved variables termed factors. Factor analysis uses the premise that data observed from such a large...
DSTH/Statistics-FactorAnalysis-0.0-2 - 18 Dec 2009 00:38:34 UTC - Search in distribution
Statistics::Sampler::Multinomial - Generate multinomial samples using the conditional binomial method.
Implements multinomial sampling using the conditional binomial method (the same algorithm as used in the GSL). Benchmarking shows it to be faster than the Alias method implemented in Statistics::Sampler::Multinomial::AliasMethod, presumably because t...
SLAFFAN/Statistics-Sampler-Multinomial-1.02 - 24 Sep 2022 09:59:55 UTC - Search in distribution- Statistics::Sampler::Multinomial::Indexed - Generate multinomial samples using the conditional binomial method, using a hierarchical index to speed up the draw method.
- Statistics::Sampler::Multinomial::AliasMethod - Generate multinomial samples using Vose's alias method
Chart::GGPlot::Util::Stats - Utility statistics functions
Functions in this module are used by Chart::GGPlot::Stat::Smooth. Each function returns a Data::Frame object which has a column named "fit" for smooth fit values for given argument $xseq. And if argument $se is a true value, the result data frame wou...
SLOYD/Chart-GGPlot-0.002003 - 04 Feb 2023 14:23:50 UTC - Search in distribution