Search results for "module:Statistics::Regression"
Statistics::Regression - weighted linear regression package (line+plane fitting)
Regression.pm is a multivariate linear regression package. That is, it estimates the c coefficients for a line-fit of the type y= c(0)*x(0) + c(1)*x1 + c(2)*x2 + ... + c(k)*xk given a data set of N observations, each with k independent x variables an...
IAWELCH/Statistics-Regression-0.53 - 07 Jul 2007 20:39:17 UTC
Statistics::MVA::MultipleRegression - Simple Least Squares Linear Multiple Regression Module.
The general purpose of multiple regression is to gain information about the relationship between several independent variables (x_i) and a dependent variable (y). The procedure involves fitting an equation of the form: y = b_o + x_1 * b_1 + x_2 * b_2...
DSTH/Statistics-MVA-MultipleRegression-0.0.1 - 21 Jan 2010 00:57:41 UTC
Statistics::LSNoHistory - Least-Squares linear regression package without data history
This package provides standard least squares linear regression functionality without the need for storing the complete data history. Like any other, it finds best m,k (in least squares sense) so that y = m*x + k fits data points (x_1,y_1),...,(x_n,y_...
PLIAM/Statistics-LSNoHistory-0.01 - 02 Mar 2003 03:07:24 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::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::LineFit - Least squares line fit, weighted or unweighted
The Statistics::LineFit module does weighted or unweighted least-squares line fitting to two-dimensional data (y = a + b * x). (This is also called linear regression.) In addition to the slope and y-intercept, the module can return the square of the ...
RANDERSON/Statistics-LineFit-0.07 - 02 Sep 2004 15:29:23 UTC
Statistics::Forecast - calculates a future value
This is a dummy Oriented Object module that calculates a future value by using existing values. The new value is calculated by using linear regression....
FALCAO/Statistics-Forecast-0.3 - 06 Mar 2007 18:38:23 UTC
Statistics::TheilSen - Perl implementation of Theil Sen Estimator
JIMI/Statistics-TheilSen-0.03
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26 Aug 2013 10:30:47 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
Bundle::Math::Statistics - Bundle of modules related to statistics
This is a bundle of modules related to statistics. Please have a look at Bundle::Math. If you would like to see a specific module included in a future version of this bundle, please send me an email or use rt.cpan.org....
SMUELLER/Bundle-Math-Statistics-1.01 - 10 Jul 2004 06:58:21 UTC
Statistics::Reproducibility - Reproducibility measurement between multiple replicate experiments
JIMI/Statistics-Reproducibility-0.09
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17 Mar 2014 19:02:09 UTC
Statistics::TheilSenEstimator - Perl implementation of Theil Sen Estimator
JIMI/Statistics-TheilSenEstimator-0.06
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05 Mar 2014 09:50:54 UTC
Statistics::Distributions::Ancova - Perl implementation of One-Way Analysis of Covariance for Independent Samples.
ANCOVA is a merger of ANOVA and regression for continuous variables. As with paired t-test and repeated-measures ANOVA this test removes the obscuring effects of pre-existing individual differences among subjects and thus may increase statistical pow...
DSTH/Statistics-Distributions-Ancova-0.32.2 - 01 Dec 2009 02:59:38 UTC
Statistics::Distribution::Generator - A way to compose complicated probability functions
This module allows you to bake together multiple "simple" probability distributions into a more complex random number generator. It does this lazily: when you call one of the PDF generating functions, it makes an object, the value of which is not cal...
PWBENNETT/Statistics-Distribution-Generator-1.003 - 01 Sep 2017 16:52:48 UTC
Statistics::Covid::Analysis::Model::Simple - Fits the data to various models
This package contains routine(s) for modelling 2D data. It can be used to model how markers in Statistics::Covid::Datum, like "confirmed", etc. vary with time by fitting the series of "time, value" pairs to a polynomial ("c0+c1*x+c2*x^2+...cn*x^n"), ...
BLIAKO/Statistics-Covid-0.23 - 30 Mar 2020 02:32:16 UTC