Search results for "module:Statistics"
Statistics::useR - Embed R to let Perl speak statistics.
The Statistics::useR is intended to integrate statistical power of R and comprehensive power of Perl. It defines a set of methods that make it possible to communicate easily between Perl and R. Furthermore, it offers a parallel environment for users ...XINZHENG/Statistics-useR-0.1.1 - 23 May 2011 16:22:25 UTC
Statistics::R - Perl interface with the R statistical program
*Statistics::R* is a module to controls the R interpreter (R project for statistical computing: <http://www.r-project.org/>). It lets you start R, pass commands to it and retrieve their output. A shared mode allows several instances of *Statistics::R...FANGLY/Statistics-R-0.34 - 19 Oct 2015 17:40:42 UTC
IO::Statistics - Transparently perform statistics on IO handles
This module allows you to count IO activity on a file handle transparently....CLKAO/IO-Statistics-0.13 - 16 Feb 2013 10:14:59 UTC
Statistics::OLS - perform ordinary least squares and associated statistics, v 0.07.
I wrote Statistics::OLS to perform Ordinary Least Squares (linear curve fitting) on two dimensional data: y = a + bx. The other simple statistical module I found on CPAN (Statistics::Descriptive) is designed for univariate analysis. It accomodates OL...SMORTON/Statistics-OLS-0.07 - 13 Oct 2000 05:53:44 UTC
Statistics::SPC - Calculations for Stastical Process Control
Creates thresholds based on the variability of all data, # of samples not meeting spec, and variablity within sample sets, all from training data. Note: this is only accurate for data which is normally distributed when the process is under control Re...EMORISSE/Statistics-SPC.v0.1 - 02 Mar 2007 21:40:03 UTC
Statistics::Gap - An adaptation of the "Gap Statistic"
Given a dataset how does one automatically find the optimal number of clusters that the dataset should be grouped into? - is one of the prevailing problems. Statisticians Robert Tibshirani, Guenther Walther and Trevor Hastie propose a solution for th...ANAGHAKK/Statistics-Gap-0.10 - 29 Apr 2006 20:29:54 UTC
Statistics::SDT - Signal detection theory (SDT) measures of sensitivity and bias in frequency data
This module implements algorithms for Signal Detection Theory (SDT) measures of sensitivity and response-bias, e.g., *d'*, *A'*, *c*, as based on frequency data. These are largely as defined in Stanislav & Todorov (1999; see REFERENCES), as well as o...RGARTON/Statistics-SDT-0.07 - 17 Mar 2018 02:49:50 UTC
Statistics::ROC - receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds
This program determines the ROC curve and its nonparametric confidence bounds for data categorized into two groups. A ROC curve shows the relationship of probability of false alarm (x-axis) to probability of detection (y-axis) for a certain test. Exp...HAKESTLER/Statistics-ROC-0.04 - 29 Apr 2007 19:50:15 UTC
Statistics::DEA - Discontiguous Exponential Averaging
The Statistics::DEA module can be used to compute exponentially decaying averages and standard deviations even when the data has gaps. The algorithm also avoids initial value bias and postgap bias. new my $dea = Statistics::DEA->new($alpha, $max_gap)...JHI/Statistics-DEA-0.04 - 17 Aug 2002 21:58:07 UTC
Statistics::Zed - Data-handling and calculations for ratio of observed to standard deviation (zscore)
Methods are provided to: + calculate a z-score: ratio of an observed deviation to a standard deviation, with optional continuity correction + convert z-value to normal p-value, and convert p-value to normal-equiv z-value + load, add, save & retrieve ...RGARTON/Statistics-Zed-0.10 - 17 Jan 2014 05:30:58 UTC
Log::Statistics - near-real-time statistics from log files
Log::Statistics is a module for collecting summary data from a log file. For examples of what can be done with Log::Statistics, see the code and documentation in scripts/logstatsd. logstatsd contains a prototype implementation of several features whi...VVU/Log-Statistics-0.051 - 25 Oct 2009 20:01:12 UTC
Statistics::PCA - A simple Perl implementation of Principal Component Analysis.
Principal component analysis (PCA) transforms higher-dimensional data consisting of a number of possibly correlated variables into a smaller number of uncorrelated variables termed principal components (PCs). The higher the ranking of the PCs the gre...DSTH/Statistics-PCA-0.0.1 - 07 Dec 2009 15:16:56 UTC
Statistics::MVA - Base module/Dependency for other modules in Statistics::MVA namespace.
This module is a base module for the other modules in the Statistics::MVA namespace (e.g. Statistics::MVA::Bartlett, Statistics::MVA::Hotelling etc.). It is not intended for direct use - though it may be used for generating covariance matrices direct...DSTH/Statistics-MVA-0.0.2 - 25 Jan 2010 19:33:27 UTC
Statistics::GaussHelmert - General weighted least squares estimation
This module is a flexible tool for estimating model parameters given a set of observations. The module provides function for a linear estimation model, the underlying model is called Gauss-Helmert model. Statistics::GaussHelmert is different to modul...HEUEL/Statistics-GaussHelmert-0.05 - 18 Apr 2002 07:25:20 UTC
Statistics::Data - Load, access, update one or more data lists for statistical analysis
Handles data for some other statistics modules, as in loading, updating and retrieving data for analysis. Performs no actual statistical analysis itself. Rationale is not wanting to write the same or similar load, add, etc. methods for every statisti...RGARTON/Statistics-Data-0.11 - 29 Jan 2017 03:00:26 UTC
Statistics::Lite - Small stats stuff.
This module is a lightweight, functional alternative to larger, more complete, object-oriented statistics packages. As such, it is likely to be better suited, in general, to smaller data sets. This is also a module for dilettantes. When you just want...BRIANL/Statistics-Lite-3.62 - 30 Oct 2015 05:07:58 UTC
Statistics::Cook - Statistics::Cook - calculate cook distance of Least squares line fit
The Statistics::Cook module is used to calculate cook distance of Least squares line fit to two-dimensional data (y = a + b * x). (This is also called linear regression.) In addition to the slope and y-intercept, the module, the predicted y values an...PEKINGSAM/Statistics-Cook-0.0.6 - 09 Nov 2015 08:54:51 UTC
Statistics::TopK - Implementation of the top-k streaming algorithm
The "Statistics::TopK" module implements the top-k streaming algorithm, also know as the "heavy hitters" algorithm. It is designed to process data streams and probabilistally calculate the "k" most frequent items while using limited memory. A typical...GRAY/Statistics-TopK-0.02 - 17 Mar 2015 04:43:10 UTC
Code::Statistics - collects and reports statistics on perl code
This is a framework to collect various metrics on a codebase and report them in a summarized manner. It is meant to be as extensible as possible. The current collection workflows are as follow: Collection All files in the search path are collected. T...MITHALDU/Code-Statistics-1.190680 - 09 Mar 2019 10:58:22 UTC
Statistics::ANOVA - Parametric and nonparametric 1-way analyses of variance for means-comparison and clustering per differences/trends over independent or repeated measures of variables or levels
With that idea in mind, in order to actually perform an ANOVA, you really only need to define an analysis as based on (1) ordered or unordered predictors, (2) independent or repeated measurement of their effects on response variables (i.e., from diff...RGARTON/Statistics-ANOVA-0.14 - 17 Mar 2018 02:44:26 UTC