Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the
associations among a large set of variables. This paper describes an R package called lslx
that implements PL methods for semi-confirmatory structural equation…
The R package mvord implements composite likelihood estimation in the class of multivariate ordinal regression models with a multivariate probit and a multivariate logit link.
A flexible modeling framework for multiple ordinal measurements on the…
Manifold optimization appears in a wide variety of computational problems in the applied sciences. In recent statistical methodologies such as sufficient dimension reduction
and regression envelopes, estimation relies on the optimization of…
Cognitive diagnosis models (CDMs) have attracted increasing attention in educational
measurement because of their potential to provide diagnostic feedback about students’
strengths and weaknesses. This article introduces the feature-rich R package…