Statistics Software

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  • Auth0 for AI Agents now in GA Icon
    Auth0 for AI Agents now in GA

    Ready to implement AI with confidence (without sacrificing security)?

    Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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  • Smart Business Texting that Generates Pipeline Icon
    Smart Business Texting that Generates Pipeline

    Create and convert pipeline at scale through industry leading SMS campaigns, automation, and conversation management.

    TextUs is the leading text messaging service provider for businesses that want to engage in real-time conversations with customers, leads, employees and candidates. Text messaging is one of the most engaging ways to communicate with customers, candidates, employees and leads. 1:1, two-way messaging encourages response and engagement. Text messages help teams get 10x the response rate over phone and email. Business text messaging has become a more viable form of communication than traditional mediums. The TextUs user experience is intentionally designed to resemble the familiar SMS inbox, allowing users to easily manage contacts, conversations, and campaigns. Work right from your desktop with the TextUs web app or use the Chrome extension alongside your ATS or CRM. Leverage the mobile app for on-the-go sending and responding.
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  • 1

    leave-kojack

    Leave-k-out-Jackknife Pearson correlation

    In general, Pearson correlation coefficients can be quite error-prone to outliers, thus Jackknifing may be helpful. I could not find any useful implementation for calculating more than leave-1-out Jackknife Pearson correlation coefficients. 'leave-kojack' offers an implementation for Jackknife Pearson correlation with dynamic values of k, i.e. leave-k-out Pearson correlation.
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  • 2

    libcomposition

    A C library to handle compositional (=closed) data, like proportions.

    Inspired by Aitchison 2003 (http://www.amazon.com/The-Statistical-Analysis-Compositional-Data/dp/1930665784/) this library aims to make compositional data analysis rigorously.
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  • 3
    The project liquiditymeter is for measuring liquidity in various financial markets.
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  • 4
    mapgraph

    mapgraph

    Massively Parallel Graph processing on GPUs -- now part of Blazegraph

    Mapgraph is SYSTAP’s disruptive new technology to exploit the main memory bandwidth advantages of GPUs. The early work was co-developed with the University of Utah SCI Institute and has its pedigree in the UINTAH software running on over 750M cores on the TITAN Super Computer. Today, SYSTAP has commercialized this technology into it’s Blazegraph Accelerator and Blazegraph HPC products. Checkout our options for GPU acceleration of graphs or contact us to learn more: https://www.blazegraph.com/product/gpu-accelerated/. The early work was released under the Apache 2 open source license and is available on here at Sourceforge. This work was (partially) funded by the DARPA XDATA program under AFRL Contract #FA8750-13-C-0002 and DARPA Contract #D14PC00029.
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  • Repair-CRM Icon
    Repair-CRM

    For small companies that repair and maintenance customer machines

    All-In-One Solution with an Online Booking portal for automating scheduling & dispatching to ditch paperwork and improve the productivity of your technicians!
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  • 5
    mathSuite

    mathSuite

    Powerful Calculus Environment and Matrices Handling Engine

    mathSuite is a very powerful Mathematical Suite which deals principally with complex algebric and geometric operations. It is powered by the fabulous ExprEval C Parser. The main purpose of this project is fast math-oriented algorithm virtualization, with an optimized direct text interface. Also it gives you a very powerful and fast Calculus Environment which let you handle easily interchangeable variable lists, matrices, LOGS and Settings Layouts with optimized Items Lists Managing Engine. You'll also be able to execute your own scriptfiles with a basic math-oriented beta script language. Some feature regarding Matrices and Linear Algebra Operations are LU-Factorization, SVD Decomposition, Rank Calculator, Ill Condition Checking and more... There are also a very powerful Linear System Solver and Basic PRELoaded Functions Integrator Engine.
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  • 6
    Tools to analyse and use passport data for biological collections.
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  • 7
    Python module to track the overall median of a stream of values "on-line" in reasonably efficient fashion.
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  • 8
    An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.
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  • 9

    metabnorm

    A mixed model normalization method for metabolomics data

    In metabolomics the goal is to identify and measure the concentrations of di fferent metabolites (small molecules) in a cell or a biological system. The metabolites form an important layer in the complex metabolic network, and the interactions between di fferent metabolites are often of interest. It is crucial to perform proper normalization of metabolomics data and here we share the code for a normalization approach based on a mixed model, with simultaneous estimation of a correlation matrix. The methodology is implemented in R.
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  • Dominate AI Search Results Icon
    Dominate AI Search Results

    Generative Al is shaping brand discovery. AthenaHQ ensures your brand leads the conversation.

    AthenaHQ is a cutting-edge platform for Generative Engine Optimization (GEO), designed to help brands optimize their visibility and performance across AI-driven search platforms like ChatGPT, Google AI, and more.
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  • 10

    minepy

    Maximal Information-based Nonparametric Exploration

    The minepy homepage has moved to http://minepy.readthedocs.io. The download page is now at https://github.com/minepy/minepy/releases.
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  • 11

    modnlp-plugins

    External plugins for modnlp/teccli

    This is a general project for modnlp/teccli plugins, with focus on text visualizaton.
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  • 12
    montyhall2

    montyhall2

    Monty Hall Problem (command line)

    Monty Hall Problem (command line), written in pure C++, using Visual C++6. It uses another project of mine for random number generation (glhlib - Graphics Library Helper). I also added a JAVA version. The Java version is written with NetBeans. I assume you can get yourself any IDE and compile the .JAVA file. It runs on Windows, Linux, Mac OSX, whatever.
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  • 13
    msp

    msp

    mathSuite Speed & Matrix Stream Processor

    This program is fundamentally a short-sized version of my mathSuite program: https://sourceforge.net/projects/mathsuite/ It includes all the functionalities of MSCenv (mathSuite Calculus Environment), such as inline variables and functions (mainly thanks to ExprEval), which you can use to perform expensive complex computations and store their results into runtime variables. You can perform also every Linear Algebra Operations included in mathSuite with new optimizations.
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  • 14
    Classic Texas Hold'Em Poker game in python.
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  • 15

    ntx

    Neutrality tests using the SNP site frequency spectrum

    Tests on "neutrality" are designed to detect systematic deviations from chance patterns in genetic data. This tool computes for a given SNP site frequency spectrum some standard test statistics like Tajima's D, Fay & Wu's H, etc. Additionally, the user may adapt the tests to specific demographies by specifying non-standard first and secondary moments. These can be obtained e.g. from simulations.
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  • 16
    Matrix factorization is applied to the B-spline basis to construct an orthonormal basis. Data can be approximated by a linear combination of the orthonormal basis functions. Constraints are imposed such that the fitted function is linear at the boundary points, as in natural cubic spline.
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  • 17

    pFq

    Generalized Hypergeometric Functions

    pFq is a math library that computes generalized hypergeometric functions by series approximation as well as derived functions. The current version pushes direct series evaluation about as far as it can go without resorting to arbitrary precision floating point. Nonetheless, for many applications, the current precision may be adequate. Often, the precision exceeds the available test functions. An approach that is intended to be a significant improvement is being actively researched.
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  • 18
    phcfM

    phcfM

    R package for modelling anthropogenic deforestation

    phcfM is an R package for modelling anthropogenic deforestation. It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data and Binomial logistic regression models with variable time-intervals between land-cover observations. The two functions use embedded Gibbs samplers written in C++ with the Scythe statistical library to reduce computational time.
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  • 19

    portas

    Pequeno script em Python para provar o problema de Monty Hall

    O jogo consiste no seguinte: Monty Hall (o apresentador) apresentava 3 portas aos concorrentes, sabendo que atrás de uma delas está um carro (prémio bom) e que as outras têm prêmios de pouco valor. Na 1ª etapa o concorrente escolhe uma porta (que ainda não é aberta); De seguida Monty abre uma das outras duas portas que o concorrente não escolheu, sabendo à partida que o carro não se encontra aí; Agora com duas portas apenas para escolher — pois uma delas já se viu, na 2ª etapa, que não tinha o prêmio — e sabendo que o carro está atrás de uma delas, o concorrente tem que se decidir se permanece com a porta que escolheu no início do jogo e abre-a ou se muda para a outra porta que ainda está fechada para então a abrir. Qual é a estratégia mais lógica? Ficar com a porta escolhida inicialmente ou mudar de porta? Com qual das duas portas ainda fechadas o concorrente tem mais probabilidades de ganhar? Por quê?
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  • 20
    psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.
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  • 21
    PYthon RELiabilitY A python package implementing state-of-the-art numerical methods arising in the field of uncertainty quantification : from statistical inference to uncertainty propagation for various purposes.
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  • 22
    Implementation in Python of some of the statistical methods provided by "asurv", the survival analysis software.
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  • 23

    r2web

    Software for medical statistics based on R

    The open source software R enables a large number of statistical analyzes. The software R2web allows to use those R functions that are useful for medical students, with a web interface that facilitates the work of the student (it replaces line commands in R with checkboxes, radio buttons, etc. ). Un logiciel en ligne pour les statistiques pour la médecine, basé sur R. Le logiciel open source R permet de faire un grand nombre d'analyses statistiques. Avec R2web, seules les fonctions R utiles aux étudiants en médecine sont présentes, dans une version web avec une interface qui facilite le travail de l'étudiant (en remplaçant les lignes de commande sous R par des cases à cocher, des boutons radio, etc).
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  • 24

    rcqp

    R interface to the Corpus Query Protocol

    Implements the Corpus Query Protocol as a package for the R statistical environment. It allows to query linguistic corpora and manipulate the data as native R objects. It is based on the CWB software.
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  • 25
    rethinking

    rethinking

    Statistical Rethinking course and book package

    This R package accompanies Richard McElreath’s Statistical Rethinking (2nd edition), offering utilities to fit and compare Bayesian models using both MAP estimation (quap) and Hamiltonian Monte Carlo via RStan (ulam). It supports specifying models via explicit distributional assumptions, providing flexibility for advanced statistical workflows.
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