A graphical user interface, or GUI, is a form of user interface that allows users to interact with electronic devices through graphical icons and visual indicators such as secondary notation. In many applications, GUIs are used instead of text-based UIs, which are based on typed command labels or text navigation. GUIs were introduced in reaction to the perceived steep learning curve of command-line interfaces (CLIs), which require commands to be typed on a computer keyboard.
Poplog is an open source, reflective, incrementally compiled software development environment for the programming languages POP-11, Common Lisp, Prolog, and Standard ML, originally created in the UK for teaching and research in Artificial Intelligence at the University of Sussex, and later marketed as a commercial package for software development as well as for teaching and research. It was one of the initiatives supported for a while by the UK government-funded Alvey Programme.
SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.
R is a programming language for statistical computing and graphics. Created by statisticians Ross Ihaka and Robert Gentleman, R is used for data mining, bioinformatics, and data analysis.
A graphical widget in a graphical user interface is an element of interaction, such as a button or a scroll bar. Controls are software components that a computer user interacts with through direct manipulation to read or edit information about an application. User interface libraries such as Windows Presentation Foundation, Qt, GTK, and Cocoa, contain a collection of controls and the logic to render these.
SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics.
gretl is an open-source statistical package, mainly for econometrics. The name is an acronym for GnuRegression, Econometrics and Time-seriesLibrary.
RKWard is a transparent front-end to the R programming language, a scripting-language with a strong focus on statistics functions. RKWard tries to combine the power of the R language with the ease of use of commercial statistical packages.
JMP is a suite of computer programs for statistical analysis developed by JMP, a subsidiary of SAS Institute. It was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh operating systems. It has since been significantly rewritten and made available also for the Windows operating system. JMP is used in applications such as Six Sigma, quality control, and engineering, design of experiments, as well as for research in science, engineering, and social sciences.
The computer program Statistical Lab (Statistiklabor) is an explorative and interactive toolbox for statistical analysis and visualization of data. It supports educational applications of statistics in business administration, economics, social sciences and humanities. The program is developed and constantly advanced by the Center for Digital Systems of the Free University of Berlin. Their website states that the source code is available to private users under the GPL. So if a commercial user wishes to obtain a copy, then they must do so indirectly, from a private user who already has a copy.
EViews is a statistical package for Windows, used mainly for time-series oriented econometric analysis. It is developed by Quantitative Micro Software (QMS), now a part of IHS. Version 1.0 was released in March 1994, and replaced MicroTSP. The TSP software and programming language had been originally developed by Robert Hall in 1965. The current version of EViews is 13, released in August 2022.
The Common Lisp Interface Manager (CLIM) is a Common Lisp-based programming interface for creating user interfaces, i.e., graphical user interfaces (GUIs). It provides an application programming interface (API) to user interface facilities for the programming language Lisp. It is a fully object-oriented programming user interface management system, using the Common Lisp Object System (CLOS) and is based on the mechanism of stream input and output. There are also facilities for output device independence. It is descended from the GUI system Dynamic Windows of Symbolics' Lisp machines between 1988 and 1993.
... you can check out Common Lisp Interface Manager (CLIM). A descendant of the Symbolics Lisp machines GUI framework, CLIM is powerful but complex. Although many commercial Common Lisp implementations actually support it, it doesn't seem to have seen a lot of use. But in the past couple years, an open-source implementation of CLIM, McCLIM – now hosted at Common-Lisp.net – has been picking up steam lately, so we may be on the verge of a CLIM renaissance. – From Practical Common Lisp
PSPP is a free software application for analysis of sampled data, intended as a free alternative for IBM SPSS Statistics. It has a graphical user interface and conventional command-line interface. It is written in C and uses GNU Scientific Library for its mathematical routines. The name has "no official acronymic expansion".
IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.
Rattle GUI is a free and open source software package providing a graphical user interface (GUI) for data mining using the R statistical programming language. Rattle is used in a variety of situations. Currently there are 15 different government departments in Australia, in addition to various other organisations around the world, which use Rattle in their data mining activities and as a statistical package.
Anaconda is a distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. As an Anaconda, Inc. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, neither of which are free.
Fyne is a free and open-source cross-platform widget toolkit for creating graphical user interfaces (GUIs) across desktop and mobile platforms. Fyne uses OpenGL to provide cross-platform graphics. It is inspired by the principles of Material Design to create applications that look and behave consistently across all platforms. It is licensed under the terms of the 3-clause BSD License, supporting the creation of free and proprietary applications. In December 2019 Fyne became the most popular GUI toolkit for Go, by GitHub star count and in early February 2020 it was trending as #1 project in GitHub trending ranks.
Nonlinear mixed-effects models are a special case of regression analysis for which a range of different software solutions are available. The statistical properties of nonlinear mixed-effects models make direct estimation by a BLUE estimator impossible. Nonlinear mixed effects models are therefore estimated according to Maximum Likelihood principles. Specific estimation methods are applied, such as linearization methods as first-order (FO), first-order conditional (FOCE) or the laplacian (LAPL), approximation methods such as iterative-two stage (ITS), importance sampling (IMP), stochastic approximation estimation (SAEM) or direct sampling. A special case is use of non-parametric approaches. Furthermore, estimation in limited or full Bayesian frameworks is performed using the Metropolis-Hastings or the NUTS algorithms. Some software solutions focus on a single estimation method, others cover a range of estimation methods and/or with interfaces for specific use cases.
