Open Source Statistics Software - Page 9
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OmicsSuite
OmicsSuite: a suite for multi-omics analysis and visualization.
OmicsSuite (https://github.com/OmicsSuite/, https://omicssuite.github.io), original name BioSciTools, a desktop program developed based on Java 11, aims to make new exploration and contribution to the development of bioinformatics, and realize data analysis and visualization in the fields of sequence analysis, multimomics (transcriptomics, genomics, protein omics, metabonomics, single cell), microbiology, clinical, etc. The program inherits the excellent interactive components, perfect analysis function and beautiful operation interface of HiPlot (https://hiplot.cn), which I developed based VUE.js and Node.js, etc. -
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OpenM++
OpenM++: open source microsimulation platform
IMPORTANT: ========== Our project home page: https://openmpp.org Our latest source code and release available at: https://github.com/openmpp/main/releases/latest Our documentation available at: https://github.com/openmpp/openmpp.github.io/wiki SourceForge files still exist for historical reason. OpenM++ is an open source microsimulation platform inspired by and compatible with Modgen. OpenM++, compared to its closed source predecessor Modgen, has advantages like portability, scalability and open source. It is not a copy of Modgen, but a new, functionally equivalent implementation of the publicly available language specification. -
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OpenPSA is open source software for Probabilistic Risk Assessment . The project is under development. If you are interested to support this project, please contact the team
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OpenSIMPLY
Discrete-event simulation modeling software for science and education
OpenSIMPLY is an open source project for simulation modeling in Delphi, Lazarus, Free Pascal. Download OpenSIMPLY at opensimply.org The project is free computer simulation software based on discrete-event approach. OpenSIMPLY is a science software with very high simulation performance. So, the simulation results can be obtained much faster. The project is suitable for people with any modeling experience, and can be used for both science and education. Some application of this modeling software are: - traffic simulation - network simulation, - emergency and evacuation ways simulation and much more. This simulation tool runs in Windows and Linux, on 32-bit and 64-bit platforms, as a GUI or console (terminal) application. Write the model only once, simulate anywhere. Videos on installing OpenSIMPLY for different IDEs and operating systems : https://www.youtube.com/playlist?list=PLnyWoktGqA -
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PANDA-view
An easy-to-use tool for data visualization and statistical analysis
PANDA-view, an affiliated tool of PANDA, includes the methods for differentially expressed protein detection, missing value imputation and the parametric and non-parametric statistical tests. Meanwhile, the most commonly-used data visualization methods are also implemented in PANDA-view. -
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A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables. It could be replaced to the data file of your choice. The code is open source but you are requested to give credits if used. Additionally, it also has some useful functions for exporting and generating publication quality figures for different kind of figures in MATLAB
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Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL threading (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.
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PMM-Lab
Predictive Microbial Modeling plug-in for KNIME
PMM-Lab is an open-source extension to the Konstanz Information Miner (KNIME). It consists of three components: • a library of KNIME nodes (called PMM-Lab), • a library of “standard” workflows • an HSQL database.to store experimental data and microbial models. Altogether these components are designed to ease and standardize the statistical analysis of experimental microbial data and the development of predictive microbial models (PMM). Users can apply PMM-Lab to proprietary or public data and create bacterial growth / survival / inactivation models. The framework can easily be extended to other model types, e.g. growth/no-growth boundary models. PMM-Lab has been initiated and provided by the Federal Institute for Risk Assessment - BfR (Berlin, Germany). The software is in Beta status. Before using the software you have to read and accept the license and disclaimer (https://sourceforge.net/p/pmmlab/wiki/Disclaimer/). If you do not agree, do not use this software. -
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ProbAbilistic CALculator - a package for computing with probability distributions
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PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
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Pi-VisualR
Qt-based C++ GUI programming interface to R
VisualR is a (currently) Windows only C++ GUI programming interface to R. It allows creating full featured applications that complelely control R and serves as a GUI programming toolkit that can be controlled from inside R code. -
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PlanetPack
Radial-velocity & transits analysis tool for exoplanets
PlanetPack is a software tool developed to facilitate the radial-velocity time-series analysis for the goal of exoplanets detection, characterization, and basic dynamical simulations. The description of the main theoretic concepts, statistical methods and algorithms that PlanetPack implements, is given in the following refereed papers: R.V. Baluev 2013, Astronomy & Computing, V. 2, P. 18 (initial release); R.V. Baluev 2018, Astronomy & Computing, V. 25, P. 221 (update 3.0). The technical manual explaining the details of the practical use is available in the download archive here (see the /doc/ subfolder). -
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Polyhedral Power Curve
Generate a power curve for tests of fairness for polyhedral dice.
Generates a power curve for a Pearson's chi-square test for polyhedral dice given the number of faces on the die and the number of "rolls" to generate. -
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Plots Binomial and Poisson distributions based on different values of p and n to visually express, how much those distributions are "close"
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ProjectEnv
Experimentation System
Experimentation Planning System -
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QMinim
A web-based minimisation service
Based on MinimPy (http://sourceforge.net/projects/minimpy/), QMinim is a web-based minimization application, for allocation of subject to different arms of a clinical trial. It is an alternative to randomization, with the advantage of balancing arms of trial with respect to preselected prognostic factors. All aspects of minimization procedure including treatments, factors, minimization protocole, and including a preload can be customized using QMinim. -
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QTASEP
Visualization application for various TASEP, ASEP and SSEP models.
Visualization of TASEP, ASEP, SSEP models with various update rules based on Zarja simulation library using QT GUI library. -
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QUANTUM SALIS
Statistical algorithms for life sciences
Collection of algorithms for computational statistics in life sciences -
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The Quality Control Assistant is a utility for quality assurance. Included are shipment analysis functions (confidence interval calculation) and a production control module (error band calculation)
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R package kOO
implementing k-spatial entropy methodology
The R package to be built aims at implementing what I did in a few scripts for the preparation of the papers I published in CaGEO and TGIS (see below). Basically this is related to the computation of the distribution of k co-occurrences of spatial events (generalising the contiguity distributions - 2 co-occurrences at distance 0) to derive spatial clustering statistics (mainly using the Shannon entropy, then called the k-spatial entropy) and methods linked to this: SOOk, SelSOOk (see caGEO paper) and scankOO (see TGIS). Another method (CAkOO) performing a k-Correspondence Analysis (i.e. on a multiway table with k entries) on the contingencies of co-occurrenceshas been already "published in my JSS paper about another R package: PTAk. At the moment the basic scripts I have are based on points and use the R package spatstat, but I would like also to extend to any geometry type. So from all this "a plan" has first to be drawn! ... (see Homepage website for references) -
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Please participate in the SURVEY on rgedit's future: https://www.surveymonkey.com/s/VNMMJMJ your answers are much appreciated! Gedit (Gnome editor, www.gedit.org) plug-in allowing it to become an easy-to-use and yet light-weight IDE for the statistical programming environment, R (www.r-project.org).
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RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together with the R package itself.
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RVASSOC is a simple program for performing various tests for association between genotypes and disease status using sequence variants from unrelated cases and controls. It was designed to accommodate both rare variants and missing genotypes.
