Provides the necessary functions to use a shifted Log-Weibull distribution
as a custom family in brms. This version is reparameterized to use
tau (proportion of non-decision time relative to minimum RT) and minrt
(minimum possible RT), where the non-decision time ndt = tau * minrt.
The distribution is parameterized by the shape (mu), scale (sigma),
as well as tau, and minrt (which is typically fixed).
Usage
rt_logweibull(
link_mu = "identity",
link_sigma = "softplus",
link_tau = "logit",
link_minrt = "identity"
)
rt_logweibull_lpdf_expose()
rt_logweibull_stanvars()
log_lik_rt_logweibull(i, prep)
posterior_predict_rt_logweibull(i, prep, ...)
posterior_epred_rt_logweibull(prep)
Arguments
- link_mu, link_sigma, link_tau, link_minrt
Link functions for the parameters.
- i, prep
For brms' functions to run: index of the observation and a brms preparation object.
- ...
Additional arguments.