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math/Statistics-Descriptive-3.0609 (Score: 0.10508093)
Perl module that supplies statistical methods for perl5
This module provides basic functions used in descriptive statistics. It has an object oriented design and supports two different types of data storage and calculation objects: sparse and full. With the sparse method, none of the data is stored and only a few statistical measures are available. Using the full method, the entire data set is retained and additional functions are available. -Anton <tobez@FreeBSD.org>
math/Statistics-Distributions-1.02 (Score: 0.10508093)
Perl module that calculates critical values of common statistical distributions
This Perl module calulates percentage points (5 significant digits) of the u (standard normal) distribution, the student's t distribution, the chi-square distribution and the F distribution. It can also calculate the upper probability (5 significant digits) of the u (standard normal), the chi-square, the t and the F distribution. These critical values are needed to perform statistical tests, like the u test, the t test, the F test and the chi-squared test, and to calculate confidence intervals. -Anton <tobez@FreeBSD.org>
math/Statistics-Forecast-0.3 (Score: 0.10508093)
Calculates a future value
This is an Oriented Object module that calculates a future value by using existing values. The new value is calculated by using linear regression.
math/pdal-1.1.0 (Score: 0.10508093)
Library for translating and manipulating point cloud data
PDAL is a BSD licensed library for translating and manipulating point cloud data of various formats. It is a library that is analogous to the GDAL raster library. PDAL is focussed on reading, writing, and translating point cloud data from the ever-growing constellation of data formats that are being developed for working with multi-dimensional emitted-pulse scanning systems. While PDAL is not explicitly limited to working with LiDAR data formats, its initial rollout is focused in that area.
math/Statistics-LTU-2.8 (Score: 0.10508093)
Perl implementation of Linear Threshold Units
Statistics::LTU defines methods for creating, destroying, training and testing Linear Threshold Units. A linear threshold unit is a 1-layer neural network, also called a perceptron. LTU's are used to learn classifications from examples. -Anton <tobez@FreeBSD.org>
math/Statistics-LineFit-0.07 (Score: 0.10508093)
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 correlation coefficient (R squared), the Durbin-Watson statistic, the mean squared error, sigma, the t statistics, the variance of the estimates of the slope and y-intercept, the predicted y values and the residuals of the y values.
math/Statistics-OLS-0.07 (Score: 0.10508093)
Perl module to perform ordinary least squares and other bivariate statistics
Statistics::OLS computes the estimated slope and intercept of the regression line, their T-statistics, R squared, standard error of the regression and the Durbin-Watson statistic. It can also return the residuals. -Anton <tobez@FreeBSD.org>
math/Text-AsciiTeX-0.05 (Score: 0.10508093)
Convert (La)TeX formulas to ASCII art
A Perl module that provides a mechanism to render (La)TeX formulae to ASCII art.
math/NetCDF-1.2.4 (Score: 0.10508093)
Perl5 module to read and write netCDF files
A perl extension module for scientific data access via the netCDF API
math/Number-Uncertainty-0.1 (Score: 0.10508093)
Object-orientated uncertainty object
Number::Uncertainty provides an object-orientated uncertainty object. It stores information about a value and its error bounds.