Open Source Linux Psychology Software
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Psychology Software for Linux
View 12 business solutionsBrowse free open source Psychology software and projects for Linux below. Use the toggles on the left to filter open source Psychology software by OS, license, language, programming language, and project status.
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PEBL (Psychology Experiment Building Language) is a system designed for creating psychology and neuroscience experiments and tests. It is cross-platform, with the intention to run the same experiment, unchanged, on Linux, Windows, and Macintosh PCs.
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IRAMUTEQ : Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires. Logiciel de traitement de données pour des corpus texte ou de type individus/caractères. Permet notamment de réaliser des analyses de type "ALCESTE"
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ShinyItemAnalysis
Test and Item Analysis via Shiny
ShinyItemAnalysis is an R package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters. Exploration of total and standard scores. Analysis of measurement error and reliability. Analysis of correlation structure and validity. Traditional item analysis. Item analysis with regression models. Item analysis with IRT models. Detection of differential item functioning. Number of toy datasets is available, the interactive application also allows the users to upload and analyze their own data and to automatically generate PDF or HTML reports. All methods include sample R code which is ready to copy and paste into R and run locally. Several toy data sets are ready to use. You can also upload and analyze your own data. ShinyItemAnalysis provides model equations, parameter estimates and their interpretation. -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation / automatic differentiation. You can choose to mix loss functions natively found in this package and those you provide. In such cases, you optimize over a sum of different objectives (e.g. ML + Ridge). This strategy also applies to gradients, where you may supply analytic gradients or opt for automatic differentiation or mixed analytical and automatic differentiation. You may consider using this package if you need extensibility and/or speed, and if you want to extend SEM. -
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blavaan
An R package for Bayesian structural equation modeling
blavaan is a free, open-source R package for Bayesian latent variable analysis. It relies on JAGS and Stan to estimate models via MCMC. The blavaan functions and syntax are similar to lavaan. The development version of blavaan (containing updates not yet on CRAN) can be installed via the command provided in the documentation. Compilation is required; this may be a problem for users who currently rely on a binary version of blavaan from CRAN. The blavaan package depends on the lavaan package for model specification and for some computations. This means that, if you already know lavaan, then you should already be able to do many things in blavaan. In particular, many blavaan commands add the letter “b” to the start of the lavaan command. It is also sometimes possible to use a lavaan command on a blavaan object, though the results may not always be what you expect. -
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GDINA Package for Cognitively Diagnostic
Package for Cognitively Diagnostic Analyses
Estimating G-DINA model and a variety of widely-used models subsumed by the G-DINA model, including the DINA model, DINO model, additive-CDM (A-CDM), linear logistic model (LLM), reduced reparametrized unified model (RRUM), multiple-strategy DINA model for dichotomous responses. Estimating models within the G-DINA model framework using user-specified design matrix and link functions. Estimating Bugs-DINA, DINO and G-DINA models for dichotomous responses. Estimating sequential G-DINA model for ordinal and nominal responses. Estimating the generalized multiple-strategy cognitive diagnosis models (experimental). Estimating the diagnostic tree model (experimental). Estimating multiple-choice models. Modelling independent, saturated, higher-order, loglinear smoothed, and structured joint attribute distribution. Accommodating multiple-group model analysis. Imposing monotonic constrained success probabilities. Accommodating binary and polytomous attributes. -
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Global Consciousness Project uses hardware "random" number generators and finds patterns between that and major world events. This Java applet will run on their webpage and translate that data to music-like audio. Or for general audio synthesizing.
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WordCount
Count frequency of single, 2-word and 3-word clusters in a text
The program can read a text file and count the occurrences of single words and clusters of 2 and 3 words. The resulting list will be sorted in descending order (highest frequency on top). -
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ufov
Enhance useful field of view, speed of responsiveness, brain exerciser
Python and pygame cross platform program to exercise the brain with the intention of enhancing useful field of view, also known as speed of responsiveness. This yields benefits in driving, motility, and even depressive symptoms, as described in research papers of randomized, double blind trials. Whether ufov exercise the brain to yield those benefits is unknown, since there are no research studies using it. The research is conducted with a commercial product that I have not seen or used. I used the description of what useful field of view is supposed to do to create this program for experimental purposes. I notice personal changes from using the program, but that is only anecdotal evidence. I was especially struck by the research that found a significant decrease in dementia for those who used such a program to exercise their brain. For a full description of the program, and links to some information about useful field of view, see the project web page. -
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METAlab GTG
Matlab toolbox to run a GLM on graph theoretic properties in MRI data
This Matlab toolbox runs a GLM on graph theoretic network properties in brain networks. The GLM accepts continuous & categorical between-participant predictors and categorical within-participant predictors. Significance is determined via non-parametric permutation tests. The toolbox allows testing of both fully connected and thresholded networks (based on a range of thresholds). The toolbox also provides a data processing path for resting state fMRI data. Several options for partialing nuisance signals are available, including local and total white matter signal (Jo et al., 2013), calculation of Saad et al. (2013)'s GCOR, and the use of Chen et al. (2012) GNI method to determine whether global signal partialing is needed. In addition, Power et al. (2014)'s motion scrubbing method is available. -
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lavalamp>3
screen colors get changed by a neural net
On the full screen or a frame the colors get changed dynamically by using a image recognition neural net. -
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Abjad
مكتبة أبجد
# مكتبة أبجد تحتوى على كتب، ومخطوطات نادرة جدا. بلتعاون مع منتدي الملوك السبعة للروحانيات حقوق النشر© هذا المُصنَّف مرخص بموجب رخصة المشاع الإبداعي نَسب المُصنّف - منع الاشتقاق 4.0 دولي. E-Mail : aba.elwaled@gmail.com Phone : +201030070676 https://elmlok-7.yoo7.com ___________ https://www.facebook.com/Abjjaad ___________ https://www.facebook.com/AabjAad ___________ https://elmlok7yoo7com.wordpress.com ___________ https://www.reddit.com/user/ro7ane ___________ https://elml0k.blogspot.com ___________ https://ro7ane.tumblr.com ___________ https://twitter.com/ro7ane1 ___________ https://www.instagram.com/abjad.science ___________ https://www.pinterest.com/Abjad66/_saved ___________ https://www.facebook.com/groups/549252415819771/ ___________ https://www.linkedin.com/in/abjad-science-513159194 ___________ https://www.youtube.com/channel/UCR9T7Fw83ovaf7sgPjgVEMg -
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Program to help with the procedure called theWork of ByronKatie. It is not standalone executable on windows or osx. It will require the installation of python, wxPython, and pygame, all free. Links on the website.
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ELIA(Eyegaze Language Integration Analysis) supports the analysis of eye-tracking data for studies in language processing. ELIA eases early analysis of data to enable iterative development of experiments in response to spoken language.
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EduCDM
The Model Zoo of cognitive diagnosis models
The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM), Item Response Ranking framework (IRR), Incremental Cognitive Diagnosis (ICD) and Knowledge-association baesd extension of NeuralCD (KaNCD). Cognitive diagnosis model (CDM) for intelligent educational systems is a type of model that infers students' knowledge states from their learning behaviors (especially exercise response logs). Typically, the input of a CDM could be the students' response logs of items (i.e., exercises/questions), the Q-matrix that denotes the correlation between items and knowledge concepts (skills). The output is the diagnosed student knowledge states, such as students' abilities and students' proficiencies on each knowledge concepts. -
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EduData
Datasets in Education and convenient interface for dataset
Datasets in Education and convenient interface for downloading and preprocessing dataset in education. The CLI tools to quickly convert the "raw" data of the dataset into "mature" data for knowledge tracing task. The "mature" data is in json sequence format and can be modeled by XKT and TKT(TBA) The analysis dataset tool only supports the json sequence format. To check the following statical indexes of the dataset. In order to better verify the effectiveness of the model, the dataset is usually divided into train/valid/test or using kfold method. Each item in the sequence represents one interaction. The first element of the item is the exercise id (in some works, the exercise id is not one-to-one mapped to one knowledge unit(ku)/concept, but in junyi, one exercise contains one ku) and the second one indicates whether the learner correctly answers the exercise, 0 for wrongly while 1 for correctly. -
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EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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FreeBrain will be an application for the analysis of 2D neurophysiological signals, like heart-rate, EEG or eyemovements. It is aimed at those who want intuitive or free software and those who want a customizeble tool that can handle mixed datasets.
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GameWeb is a web-based platform for experimental games research. GameWeb allows users to track mouse movements, create, adjust, pause and monitor games from a web interface. Based upon Apache, MySQL, and PHP projects.
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J-Astro is a utility for astrological calculations. Beeing developed under linux, binaries are available for Linux, Mac OSX and for Win (XP / Win7). The user interface is built using the Qt4 libraries.
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The aim of the JQuizAPI project is to define a simple API to construct test that may be used in diferent areas: - Surveys - Psychometric tests - Polls
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Kromophone
A color sonification device for navigation and classification
The Kromophone is a color-to-sound sensory substitution device. It was designed with the tasks of navigation, object, and environmental navigation in mind. -
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LARA
Lightweight Architecture for boundedly Rational Agents
For the purpose of policy simulation in coupled social-ecological systems (e.g. energy supply), a credible modelling of actors – especially citizens – and their decision processes is needed. This requires a framework capable of handling high numbers of heterogeneous agents (several hundreds of thousands). LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged cognitive architectures which are both not viable options in this context. LARA provides prefabricated components of an agent’s decision process like perception, memory, and different modes of decision making. These components are psychologically plausible, i.e. based on appropriate psychological results and theories. Moreover, interfaces for basic learning and social influence are available.
