Search results for "module:Statistics::Basic::Variance"

Basic/Variance.pm River stage two • 10 direct dependents • 14 total dependents

JETTERO/Statistics-Basic-1.6611 - 18 Dec 2014 08:19:16 UTC

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 UTC

Statistics::Lite - Small stats stuff. River stage two • 17 direct dependents • 26 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 UTC

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 UTC

Statistics::Running - Basic descriptive statistics (mean/stdev/min/max/skew/kurtosis) and discrete Probability Distribution (via histogram) over data without the need to store data points ever. OOP style. River stage zero No dependents

Statistics are updated every time a new data point is added in. The common practice to calculate descriptive statistics for 5 data points as well as 1 billion points is to store them in an array, loop over the array to calculate the mean, then loop o...

BLIAKO/Statistics-Running-0.13 - 16 Feb 2019 19:22:25 UTC

Statistics::Descriptive - Module of basic descriptive statistical functions. River stage two • 23 direct dependents • 39 total dependents

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 on...

SHLOMIF/Statistics-Descriptive-3.0800 - 17 Oct 2020 08:36:07 UTC

Statistics::Sequences - Common methods/interface for sub-module sequential tests (of Runs, Joins, Pot, etc.) River stage one • 5 direct dependents • 5 total dependents

This module provides methods for loading, updating and accessing data as ordered list of scalar values (numbers, strings) for statistical tests of their sequential properties via sub-modules including Statistics::Sequences::Joins, Statistics::Sequenc...

RGARTON/Statistics-Sequences-0.15 - 10 Apr 2017 00:36:58 UTC

Statistics::Regression - weighted linear regression package (line+plane fitting) River stage one • 2 direct dependents • 8 total dependents

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::Running::Tiny - Basic descriptive statistics (mean/stdev/min/max/skew/kurtosis) over data without the need to store data points ever. OOP style. River stage zero No dependents

Calculate basic descriptive statistics (mean, variance, standard deviation, skewness, kurtosis) without the need to store any data point/sample. Statistics are updated each time a new data point/sample comes in. There are three amazing things about B...

BLIAKO/Statistics-Running-Tiny-0.03 - 16 Feb 2019 19:23:53 UTC

Statistics::Descriptive::PDL - A close to drop-in replacement for Statistics::Descriptive using PDL as the back-end River stage zero No dependents

This module provides basic functions used in descriptive statistics....

SLAFFAN/Statistics-Descriptive-PDL-0.16 - 24 Apr 2022 22:22:17 UTC

Statistics::Descriptive::Full - Module of basic descriptive statistical functions. River stage two • 23 direct dependents • 39 total dependents

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 on...

SHLOMIF/Statistics-Descriptive-3.0800 - 17 Oct 2020 08:36:07 UTC

Statistics::Descriptive::Sparse - Module of basic descriptive statistical functions. River stage two • 23 direct dependents • 39 total dependents

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 on...

SHLOMIF/Statistics-Descriptive-3.0800 - 17 Oct 2020 08:36:07 UTC

Statistics::Descriptive::LogScale - Memory-efficient approximate univariate descriptive statistics class. River stage zero No dependents

This module aims at providing some advanced statistical functions without storing all data in memory, at the cost of certain (predictable) precision loss. Data is represented by a set of bins that only store counts of fitting data points. Most bins a...

KHEDIN/Statistics-Descriptive-LogScale-0.11 - 11 Nov 2017 22:52:08 UTC

Statistics::Descriptive::Discrete - Compute descriptive statistics for discrete data sets. River stage zero No dependents

This module provides basic functions used in descriptive statistics. It borrows very heavily from Statistics::Descriptive::Full (which is included with Statistics::Descriptive) with one major difference. This module is optimized for discretized data ...

RHETTBULL/Statistics-Descriptive-Discrete-0.12 - 05 May 2019 05:18:26 UTC

Statistics::Descriptive::Weighted - Module of basic descriptive statistical functions for weighted variates. River stage zero No dependents

This module partially extends the module Statistics::Descriptive to handle weighted variates. Like that module, this module has an object-oriented design and supports two different types of data storage and calculation objects: sparse and full. With ...

DHARD/Statistics-Descriptive-Weighted-0.7 - 04 Apr 2014 00:04:43 UTC

Statistics::Descriptive::PDL::Weighted - A close to drop-in replacement for Statistics::Descriptive::Weighted using PDL as the back-end River stage zero No dependents

This module provides basic functions used in descriptive statistics using weighted values....

SLAFFAN/Statistics-Descriptive-PDL-0.16 - 24 Apr 2022 22:22:17 UTC

Quantum::Superpositions::Lazy::Statistics - statistical measures on superpositions River stage zero No dependents

This package contains implementations of basic statistical measures available directly from the superposition object via the *stats* method. Upon calling any method on the statistics object, the full set of states will be created on the superposition...

BRTASTIC/Quantum-Superpositions-Lazy-1.12 - 11 May 2022 22:10:13 UTC

Data::EventStream::Statistics::Discrete - basic statistical functions for the sample River stage zero No dependents

Module implements aggregator that calculates basic statistical functions for data set in aggregators' window....

ZWON/Data-EventStream-0.13 - 04 Aug 2014 16:30:50 UTC

Statistics::Descriptive::PDL::SampleWeighted - Sample weighted descriptive statistics using PDL as the back-end River stage zero No dependents

This module provides basic functions used in descriptive statistics using weighted values. Inherits from Statistics::Descriptive::PDL::Weighted, with the key difference that the weights are forced to be integers. Variance, skewness and kurtosis all u...

SLAFFAN/Statistics-Descriptive-PDL-0.16 - 24 Apr 2022 22:22:17 UTC
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