This paper presents the R package “galamm”, which contains open-source implementations for generalized additive latent and mixed models (GALAMMs). Published in Multivariate Behavioral Research.
This R package contains functions for estimating generalized additive latent and mixed models.
This R package contains functions for estimating whether a subject is left- or right-dominant for language processing based on the results of dichotic listening experiments and information about handedness.
This paper presents the BayesMallows R package, for analysis of rank and preference data. Published in the R Journal.
This R package contains functions for meta analysis using generalized additive (mixed) models, by combining fits from multiple studies.
This paper describes the hdme R package, which provides implementation of variable selection in the presence of measurement error. Published in Journal of Open Source Software.
This R package contains functions for estimating the Bayesian Mallows model in a wide range of situation, using the Metropolis-Hastings algorithm.
This R package contains functions for fitting variable selection models in the presence of noise in the predictor variables. In particular, it supports a corrected lasso and the generalized matrix uncertainty selector. In addition, it offers an implementation of the (generalized) Dantzig selector.