Two new distributions for the modelling of RT data

This project contains data sets and R code used to feature two new distributions suitable to model reaction time (RT) data: the Exponential-Centred Skew-Normal (ECSN) distribution and the Generalised Exponential Gaussian (GEG) distribution. The paper proposing the ECSN is: Martínez-Flórez, G., Barrera-Causil, C., & Marmolejo-Ramos, F. (2020). The Exponential-Centred Skew-Normal distribution. Symmetry, 12 (7), 1140. doi.org/10.3390/sym12071140. The paper proposing the GEG is: Marmolejo-Ramos, F., Barrera-Causil, C., Kuang, S., Fazlali, Z., Wegener, D., de Bastiani, F., & Martínez-Flórez, G. (----). The Generalised Exponential-Gaussian distribution: A distribution for the modelling of behavioural and neuronal reaction time data. Cognitive Neurodynamics, ---.