Data, Code and Figures of our manuscript "Mapping the emotional face. How individual face parts contribute to successful emotion recognition."
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Updated
Jul 22, 2017 - Jupyter Notebook
Data, Code and Figures of our manuscript "Mapping the emotional face. How individual face parts contribute to successful emotion recognition."
Repositorio con el material del taller "Introducción a la Modelización Psicómetrica con IRT usando R" dictado por Dr. Ramsés Vázquez Lira en el Instituto Nacional para la Evaluación Educativa (INEE) como parte de la clase "Seminario de Medición y Evaluación en Educación" impartida en conjunto con la Facultad de Psicología, UNAM. Auxiliar: Josué …
Analyzing humor styles by age and gender.
docker-compose flask API for serving psychrochart SVG files as a webcam for Home Assistant
Developmental version of R package BayesTwin
psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .
Flask web application for calculation and analysis of the Rorschach Inkblot Method
Toolbox to build (color) vision experiments
Using psychometric function (logistic) to measure the speech reception threshold (SRT)
Kot is a basic toolkit for getting started with computerised adaptive testing (CAT) in Ruby.
Bringing Multinomial Processing Tree Models To Item Response Theory To Investigate Response Styles
indexDilemma() function co-authored and Included in CRAN
A new way to analyse computer mouse trajectories
R and C++ code useful for time series analysis on dichotomous data
R Markdown and data for my publication: "The Personality Inventory for ICD-11 (PiCD): Investigating Reliability, Structural and Concurrent Validity, and Method Variance"
This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling
Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (errum) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.
Scale development project assessing human-machine preferences
Materials for my R workshops
Perform a Bayesian estimation of the Exploratory Deterministic Input, Noisy “And” Gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>
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