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Name: Don van den Bergh
Type: User
Bio: I am a postdoc at the University of Amsterdam. I am very interested in everything that entails either statistics or programming.
Location: Amsterdam
Name: Don van den Bergh
Type: User
Bio: I am a postdoc at the University of Amsterdam. I am very interested in everything that entails either statistics or programming.
Location: Amsterdam
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
This repository contains a development module for the statistical software package JASP focused on machine learning. The module features several techniques for classification, regression and clustering.
The ANOVA Module
The Audit module is developed to facilitate statistical auditing in both Bayesian and classical manifestations. The main feature is a workflow that helps guide auditors through the sampling process. Additionally, there are stand-alone analyses for planning, selecting, and evaluating a sample. The module is based on the R package jfa.
The basic R pkg for JASP
The Descriptives Module
The Discover Distributions Module
The Equivalence T-Tests Module
The Factor Module
The Frequencies Module
Basic r pkg for plotting in JASP
The JAGS Module
A module to help learn bayesian statistics
The Machine Learning Module
The Network Analysis Module
The Regression Module
The Reliability Module
R pkg for showing results in JASP
The SEM Module
The Summary Statistics Module
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