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The QLattice works with data in categorical and numeric format. It allows the user to quickly generate, plot and inspect mathematical formulae that can potentially explain the generating process of the data. It is designed for easy interaction with the researcher, allowing the user to guide the search based on their preexisting knowledge. [2] [6]
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
Product One-way Two-way MANOVA GLM Mixed model Post-hoc Latin squares; ADaMSoft: Yes Yes No No No No No Alteryx: Yes Yes Yes Yes Yes Analyse-it: Yes Yes No
The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural equation modeling; Wolfram Language [8] – the computer language that evolved from the program Mathematica. It has similar ...
Linux, Windows: DIANA FEA: General purpose finite element package utilised by civil, structural and geotechnical engineers. DIANA FEA BV, The Netherlands: 10.1: 2016-11-14: Proprietary commercial software: Paid: Windows, Linux: deal.II: Comprehensive set of tools for finite element codes, scaling from laptops to clusters with 100,000+ cores.
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
Eureqa, evolutionary symbolic regression software (commercial), and software library; TuringBot, symbolic regression software based on simulated annealing (commercial) PySR, [20] symbolic regression environment written in Python and Julia, using regularized evolution, simulated annealing, and gradient-free optimization (free, open source) [21]
All of the packages gave exactly the same results for correlation and regression. The free software packages also gave the same regression results as did excel. One of the main differences among the packages was how they handled missing data. With the example data sets used in the review, and for the package versions available in November 2006 ...