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>
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>
This is an Oriented Object module that calculates a future value by using
existing values. The new value is calculated by using linear regression.
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.
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>
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.
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>
A Perl module that provides a mechanism to render (La)TeX formulae to ASCII
art.
A perl extension module for scientific data access via the netCDF API
Number::Uncertainty provides an object-orientated uncertainty object. It stores
information about a value and its error bounds.