Statistics::useR - Embed R to let Perl speak statistics. River stage one • 1 direct dependent • 1 total dependent

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 GMT

Statistics::R - Perl interface with the R statistical program River stage one • 2 direct dependents • 2 total dependents

*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 GMT

IO::Statistics - Transparently perform statistics on IO handles River stage zero No dependents

This module allows you to count IO activity on a file handle transparently....

CLKAO/IO-Statistics-0.13 - 16 Feb 2013 10:14:59 GMT

Statistics::OLS - perform ordinary least squares and associated statistics, v 0.07. River stage zero No dependents

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 GMT

Statistics::SPC - Calculations for Stastical Process Control River stage zero No dependents

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 GMT

Statistics::Gap - An adaptation of the "Gap Statistic" River stage zero No dependents

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 GMT

Statistics::SDT - Signal detection theory (SDT) measures of sensitivity and bias in frequency data River stage zero No dependents

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 GMT

Statistics::PCA - A simple Perl implementation of Principal Component Analysis. River stage zero No dependents

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 GMT

Log::Statistics - near-real-time statistics from log files River stage zero No dependents

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 GMT

Statistics::DEA - Discontiguous Exponential Averaging River stage zero No dependents

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 GMT

Statistics::ROC - receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds River stage zero No dependents

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 GMT

Statistics::Zed - Data-handling and calculations for ratio of observed to standard deviation (zscore) River stage two • 9 direct dependents • 10 total dependents

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 GMT

Statistics::MVA - Base module/Dependency for other modules in Statistics::MVA namespace. River stage one • 1 direct dependent • 2 total dependents

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 GMT

Statistics::GaussHelmert - General weighted least squares estimation River stage zero No dependents

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 GMT

Statistics::Lite - Small stats stuff. River stage two • 17 direct dependents • 28 total dependents

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 GMT

Statistics::Data - Load, access, update one or more data lists for statistical analysis River stage two • 10 direct dependents • 16 total dependents

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 GMT

Statistics::Cook - Statistics::Cook - calculate cook distance of Least squares line fit River stage zero No dependents

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 GMT

Statistics::TopK - Implementation of the top-k streaming algorithm River stage one • 1 direct dependent • 2 total dependents

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 GMT

Code::Statistics - collects and reports statistics on perl code River stage zero No dependents

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 GMT

Graph::Statistics - Perl extension for calculating network constraint and other network statistics. River stage zero No dependents

Calculates Burt's network constraint value on nodes within a hash based network representation. An earlier version (not public) was based on Graph, but that was too slow for networks of size. Methods * constraint(hashreference, nodeidentifier) return...

EMORISSE/Graph-Statistics-0.02 - 03 Apr 2009 22:37:26 GMT

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