### Basic/Variance.pm River stage two • 10 direct dependents • 14 total dependents 11 ++

/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 2 ++

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 ...

/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 5 ++

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...

/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...

/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...

/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 19 ++

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...

/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...

/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 2 ++

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...

/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 1 ++

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...

/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....

/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 19 ++

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...

/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 19 ++

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...

/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...

/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 1 ++

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 ...

/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 1 ++

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 ...

/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....

/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 1 ++

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...

/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....

/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...

/Statistics-Descriptive-PDL-0.16 - 24 Apr 2022 22:22:17 UTC
19 results (0.033 seconds)