Josué M's repositories
2021-Leicester-seminar
Code for a seminar talk at University of Leicester, UK
Bayesian-causal-inference
Tutorials on Stan for Bayesian causal inference
Bayesian_Sequential_Updating_DPMM_supplementary
Supplementary materials for paper "Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling"
byrne-euclid
MetaPost + ConTeXt rendition of Oliver Byrne's "The first six books of the Elements of Euclid"
ChoiceModeling
Programs in Cognitive Choice Modeling Book
complexity-behchange
Article on the complex adaptive systems perspective to behaviour change research
Computational_modeling_tutorial
[beta] An entry-level computational modeling workshop, developed for internal use at Brown University but hopefully useful to many!
educacion-y-pandemia
corpus de textos publicados sobre el tema con licencia CC BY 4.0
exploring-the-persome
This repository includes the code from Revelle, Dworak, & Condon (2021). As of “28 May, 2021”, this repository is a draft.
hakuna
R codes and data accompanying the paper "Understanding the reliability of citizen science observational data using item response models"
hemp
Datasets and functions for the Handbook of Educational Measurement and Psychometrics using R.
idealstan
idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).
jasp_discounting
Bayesian scoring of delay discounting data in JASP, using JAGS
KendallWeightedDistance
Code repository for computation of Kendall's weighted distance
LinAlgBook
Linear algebra textbook
mixtape
Data and Program files for Causal Inference: The Mixtape
NatureMethodsPrimer_NetworkAnalysis
This repository holds data and code for the paper "Network approaches to the analysis of multivariate data in psychological science"
NBZIMM
NBZIMM (Negative Binomial and Zero-Inflated Mixed Models)
OutlierConf2021
⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
peopleanalytics-regression-book
Handbook of Regression Modeling in People Analytics
pgog
Supplemental to the paper A Probabilistic Grammar of Graphics
r4sl
:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R
SC-IAT-in-JsPsych
An example of an SC-IAT in Js-Psych based on other examples
teacups-giraffes-and-statistics
Online teaching modules for stats and R coding inside a fictional narrative about a miniature giraffe species.
xaringan-basics-and-beyond
Sharing Your Work with xaringan: Workshop created for the NHS-R Community 2020 Virtual Conference.