brms Version: 2.10.0 Hi, This is my first foray into non-normal modelling, so please bear with me if I’m asking obvious questions. I have searched the forum and looked at various documentations, but I remain unclear on a couple of things. I have data which can be considered long reaction times (…

Hey! Looking at the actual Stan code generated by make_stancode shows that the shifted Log-Normal is parameterized like lognormal_lpdf(Y - ndt | mu, sigma), so, ignoring Jacobians for a moment, this means \log(Y - \text{ndt}) \sim \text{Normal}(\mu, \sigma). With link identity for mu, the coefficie…

Understanding shifted lognormal parameters and priors

Interfaces brms

Max_Mantei Split this topic June 25, 2020, 10:58am 6

A post was split to a new topic: Weakly informative priors for Shifted LogNormal

Topic		Replies	Views
Shifted log normal distribution with varying shifts by participant brms	12	3428	November 23, 2020
Weakly informative priors for Shifted LogNormal Modeling specification , prior-choice , cognitive-science	3	1091	March 1, 2021
Advice on distribution for modelling reaction times? (and setting priors) brms cognitive-science	8	1847	November 23, 2020
Shifted lognormal stan conversion and mean function brms	4	581	December 5, 2020
Setting starting values on ndt intercept of shifted lognormal model brms fitting-issues , priors	13	2087	November 24, 2020

Understanding shifted lognormal parameters and priors

Related topics