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JASP (Jeffreys’s Amazing Statistics Program [2]) is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form.
gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...
Free statistical software is a practical alternative to commercial packages. Many of the free to use programs aim to be similar in function to commercial packages, in that they are general statistical packages that perform a variety of statistical analyses. Many other free to use programs were designed specifically for particular functions ...
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, and data analysis. [ 9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
Plotly offers open-source and enterprise products. Dash is an open-source Python , R , and Julia framework for building web-based analytic applications . Many specialized open-source Dash libraries exist that are tailored for building domain-specific Dash components and applications.
OpenEpi is a free, web-based, open source, operating system-independent series of programs for use in epidemiology, biostatistics, public health, and medicine, providing a number of epidemiologic and statistical tools for summary data.
jamovi is an open source graphical user interface for the R programming language. [4] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [5] [6] It also can be used for linear regression, [7] mixed models and Bayesian models. [8]
Nightscout is a collection of software tools, including mobile clients, to enable DIY cloud-based continuous glucose monitoring "…for informational and educational purposes." [31] Individual components are available under various open-source licenses, including the GNU GPL, [32] GNU AGPL, [33] MIT License, [34] and BSD licenses. [35]
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