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Ana Martinovici's Projects

adf_public icon adf_public

Public repo for Analyzing Digital Footprints (course in the BAM MSc, RSM)

attention_and_choice icon attention_and_choice

Repo for: Martinovici, Pieters, and Erdem (2022), "Attention Trajectories Capture Utility Accumulation and Predict Brand Choice", Journal of Marketing Research, https://doi.org/10.1177/00222437221141052

bayeslmmtutorial icon bayeslmmtutorial

Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html

be-a-deletist icon be-a-deletist

A series of advice and guides for the privacy conscious and the minimalists; trying to reduce their digital data footprint, become anonymous, and make time.

calibration icon calibration

Experimental code to acquire training data using Psychtoolbox

conjoint-ensembles icon conjoint-ensembles

Using clever randomization and ensembling strategies to accommodate multiple data pathologies in conjoint studies.

digitalme icon digitalme

(WIP) Capture your own digital footprint by yourself. Sample page:

eyemovementdetectorevaluation icon eyemovementdetectorevaluation

Code and data for evaluating eye movement detection algorithms. Material used in the paper: Andersson, R., Larsson, L., Holmqvist, K., Stridh, M. & Nyström, M. (2016). One algorithm to rule them all? : An evaluation and discussion of ten eye movement event-detection algorithms. Behavior Research Methods, 1-22. The Psychonomic Society.

eyetracking icon eyetracking

User data, including text descriptions, eyetracking data and Matlab code for visualizing it.

eyetrackingr icon eyetrackingr

This package is designed to make dealing with eye-tracking data easier. It addresses tasks along the pipeline from raw data to analysis and visualization.

forecasting-tournament icon forecasting-tournament

Data repository of the results for the COVID-19 Tournament of the Behavioral and Social Science Forecasting Collaborative

githubfun icon githubfun

Practice repository for taking your first steps with Git

hbayesdm icon hbayesdm

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

hddm icon hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

matomo icon matomo

Liberating Web Analytics. Star us on Github? +1. Matomo is the leading open alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites, apps & the IoT and visualise this data and extract insights. Privacy is built-in. We love Pull Requests!

method_htssm_addm icon method_htssm_addm

Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.

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