Search Results for "smith statistical package" - Page 2
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Showing 78 open source projects for "smith statistical package"
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Criterial
The package for statistical data analysis and applied mathematics
Putting truth before show-off. Criterial is an add-in for desktop versions of LibreOffice Calc (and forks) for statistical data analysis. The project is built on the refined expertise and core concepts of the AtteStat and StatAnt projects. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU... -
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Chemical Trajectory Analyzer
A software package for processing and analyzing chemical trajectories
ChemTraYzer creates reaction models from molecular dynamics simulations. It's available as open software (MIT license). Please find a full description @ https://www.ltt.rwth-aachen.de/cms/LTT/Forschung/Forschung-am-LTT/Model-Based-Fuel-Design/Aktuelle-Projekte/~kqbf/ChemTraYzer/lidx/1 M.Döntgen, M.-D.Przybylski-Freund, L.C.Kröger, W.A.Kopp, A.E.Ismail, K.Leonhard, "Automated Discovery of Reaction Pathways, Rate Constants, and Transition States Using Reactive Molecular Dynamics... -
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Data Envelopment Analysis using Stata
Develop a user written Data Envelopment Analysis package in Stata.
The goal of this project is to develop a Data Envelopment Analysis(DEA) program using Stata programming language. This is the replacement of "deastata" project that we maintained for the purpose of version management. We call the program package "DEAS" which stands for Data Envelopment Analysis using Stata. DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index... -
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QUCAS-Quantum-Cosmology-Integration
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace and Justice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author License: Dual 🔬 Overview A complete computational framework for cosmological... -
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Parallel and Distributed Process System
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace and Justice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author Computational Neuroscience: Large-scale neural population dynamics, brain-inspired... -
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Complete Machine Learning Package
A comprehensive machine learning repository containing 30+ notebooks
Complete Machine Learning Package repository is a comprehensive educational collection of machine learning notebooks designed to teach core data science and AI concepts through practical coding examples. The project includes more than thirty notebooks that cover a wide range of topics including data analysis, statistical modeling, neural networks, and deep learning. -
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MeasureTheory.jl
"Distributions" that might not add to one.
Probabilistic programming and statistical computing are vibrant areas in the development of the Julia programming language, but the underlying infrastructure dramatically predates recent developments. The goal of MeasureTheory.jl is to provide Julia with the right vocabulary and tools for these tasks. In this package we introduce well-chosen foundational primitives centered around the notion of measure, density and conditional probability with powerful combinators and transforms intended to power and unify work on probabilistic programming and statistical computing within Julia. ... -
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whiteboxgui
An interactive GUI for WhiteboxTools in a Jupyter-based environment
The whiteboxgui Python package is a Jupyter frontend for WhiteboxTools, an advanced geospatial data analysis platform developed by Prof. John Lindsay (webpage; jblindsay) at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image... -
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Statistical Rethinking 2022
Statistical Rethinking course winter 2022
This repository hosts the 2022 version of the Statistical Rethinking course. It contains course materials such as R scripts, notebooks, and worked examples aligned with McElreath’s textbook. The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating). -
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StochSD
CSS package for contin., discrete and combined modelling & simulation
...In particular, StochSD includes features for stochastic modelling and post analysis of multiple simulations followed by presentation of the results in statistical form. Tools for Sensitivity Analysis, Optimization and Statistical Analysis are parts of StochSD. -
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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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ACToolkit's temporary homepage
Max-objects-&-patches for Algorithmic Composition and statistical DSP
It was formerly jey-Toolkit. Now it's renamed and also being distributed by Cycling '74. Through the Files menu that appears above, the same package as released at the Package Manager of Max 7/8 and the beta-version update(s) are accessible. PLEASE NOTE that, on Max 6.1.10, some Jitter features and GEN~ objects that the patches included in the package use WON'T be working. The name of our package ACToolkit is a derivative of AC Toolbox, the legendary "Algorithmic music composition program... -
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Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
...The repository is designed for Julia users and provides ready-to-run examples that reinforce theoretical concepts with practical implementation. Readers can explore how Julia supports statistical modeling, simulation, and computational methods in data science workflows. The included initialization script simplifies package setup, ensuring that learners can focus on running and modifying the code examples. This project bridges the gap between textbook learning and hands-on coding, making it a valuable educational tool for students, researchers, and practitioners. -
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WhyLogs Java Library
Profile and monitor your ML data pipeline end-to-end
...Using approximate statistics allows the package to run on minimal infrastructure and monitor an entire dataset, rather than miss outliers and other anomalies by only using a sample of the data to calculate statistics. -
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Hiper
A statistical analysis tool for performance testing
...The tool relies on browser performance timing data to capture metrics such as DNS lookup time, TCP connection time, time to first byte, download duration, DOM readiness, and total page load time. Hiper runs from the command line and can be installed globally using Node.js package managers, making it simple to integrate into development or testing workflows. -
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NeuralCoref
Fast Coreference Resolution in spaCy with Neural Networks
NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolves coreference clusters using a neural network. NeuralCoref is production-ready, integrated in spaCy's NLP pipeline and extensible to new training datasets. For a brief introduction to coreference resolution and NeuralCoref, please refer to our blog post. NeuralCoref is written in Python/Cython and comes with a pre-trained statistical model for English only. NeuralCoref is accompanied by a visualization client... -
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spark-ml-source-analysis
Spark ml algorithm principle analysis and specific source code
spark-ml-source-analysis is a technical repository that analyzes the internal implementation of machine learning algorithms within Apache Spark’s MLlib library. The project aims to help developers and data scientists understand how distributed machine learning algorithms are implemented and optimized inside the Spark ecosystem. Instead of providing a runnable software system, the repository focuses on explaining algorithm principles and examining the underlying source code used in Spark’s... -
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NanoR
R package built to analyze and compare Nanopore data
NanoR is a package for the statistical language and environment R, tested on Unix, MacOSX and Windows, that allows user-friendly analysis and comparison of 1D MinION and GridION X5 sequencing data within acceptable time frames. -
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JDistlib
Java library of statistical distribution
A Java package that provides routines for various statistical distributions. Based on R version 2.14.1 (continuously updated; current as of R v3.3.0). The major difference is that JDistlib is thread safe. The library contains the density (pdf), cumulative (cdf), quantile, and random number generator (RNG) routines of the following distributions: Ansari, Beta, Binomial, Cauchy, Chi square, Exponential, Fisher's F, Gamma, Geometric, Hypergeometric, Kendall, Logistic, Log normal, Negative binomial, Noncentral beta, Noncentral chi square, Noncentral f, Noncentral t, Normal, Poisson, Sign Rank, Spearman, Student's T, Tukey, Uniform, Weibull, Wilcoxon, and many more. ... -
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Peptrix
Label free peptide profiling
...The software architecture consists of 4 pillars 1) a Graphical User Interface written in Java, 2) a MySQL database, which contains all metadata, such as experiment numbers and sample codes, 3) a FTP (File Transport Protocol) server to store all raw mass spectrometry files and processed data, 4) the software package R, which is used for modular statistical calculations, such as the Wilcoxon-Mann-Whitney rank sum test. -
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MDPP
The Biozentrum Micrograph Data Processing Program (MDPP)
MDPP is an image processing package designed for micrograph data. It contains program to process data in a number of ways including many averaging methods, statistical methods and reconstruction schemes. The programs are not limited to micrograph data of course, but can be applied to images of all types. -
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CamBA is a Linux package for statistical analysis, by script/GUI, of neuroimaging data (fMRI/sMRI), developed at the Brain Mapping Unit, University of Cambridge. Non-parametric permutation-based statistics. Input images: 4D NiFTI files, output: HTML/
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MSTgold
Estimate minimum spanning trees with statistical bootstrap support
...The MSTgold package includes Mac OS X, Linux, and Windows executables of the MSTgold program, a detailed Manual, example data and results, and executables of the program Fasta2MSTG which converts Fasta sequence files to the MSTgold input format. -
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AKtoolbox
Matlab Toolbox for coevolution analysis of multiple sequence alignment
...The aim of AK toolbox is to provide a set of Matlab functions, which are independent of Matlab Bioinforamtics Toolbox, for coevolution anaylsis for MSA. At present, co-evolution methods available in this package are Statistical Coupling Analysis (SCA), Explicit Likelihood of Subset Covariance (ELSC), Mutual Information (MI), Observed Minus Expected Square method (OMES), McLanhlan Based Substitution Correlation (MCBASC), Direct-coupling analysis (DCA) and logR. Enclosed in this package is also an archive of different Bioinformatics matrices. -
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REDO
REDO - RNA Editing Detection in Organelle
...It is a suite of Perl scripts and can work easily and directly in any operating system installed Perl and R Environment. The stringent rule depended filters and statistical filters are used in REDO for reducing false positive rate. It can provide detailed annotations, statistics and figures for RNA editing sites. REDO also can detect RNA editing events in multiple samples simultaneously and identify differential proportion of RNA editing events in different samples. Moreover, the genome variation can be easily removed by a subprogram fish.pl in our package.
