Calculates the (localised) length of the shorth and
supplies corresponding diagnostic plots.

c(person("Dongyoung", "Go", role = c("aut"),
email = "dongyoung.gr@yonsei.ac.kr"),
person("Jina", "Park", role = c("aut", "cre"),
email = "pja0707@yonsei.ac.kr"),
person("Ickhoon", "Jin", role = c("ctb"),
email = "ijin@yonsei.ac.kr"),
person("Minjeong", "Jeon", role = "ctb",
email = "mjjeon@ucla.edu"))
Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. It includes original 1PL LSIRM and 2PL LSIRM provided for binary response data and its extension for continuous response data. Bayesian model selection with spike-and-slab prior and method for dealing data with missing value under missing at random, missing completely at random are also supported. Various diagnostic plots are available to inspect the latent space and summary of estimated parameters.
Rcpp (>= 1.0.5), MCMCpack, ggplot2, GPArotation
Dongyoung Go [aut],
Jina Park [aut, cre],
Ickhoon Jin [ctb],
Minjeong Jeon [ctb]

Rcpp (>= 1.0.5), MCMCpack, ggplot2, GPArotation, dplyr,
grDevices

c(person("Dongyoung", "Go", role = c("aut"),
email = "dongyoung.gr@yonsei.ac.kr"),
person("Gwanghee", "Kim", role = c("aut"),
email = "musagh08@yonsei.ac.kr"),
person("Jina", "Park", role = c("aut", "cre"),
email = "pja0707@yonsei.ac.kr"),
person("Ickhoon", "Jin", role = c("ctb"),
email = "ijin@yonsei.ac.kr"),
person("Minjeong", "Jeon", role = "ctb",
email = "mjjeon@ucla.edu"))
Rcpp (>= 1.0.5), MCMCpack, ggplot2, GPArotation, dplyr,
grDevices, rlang, pROC, coda
Dongyoung Go [aut],
Gwanghee Kim [aut],
Jina Park [aut, cre],
Ickhoon Jin [ctb],
Minjeong Jeon [ctb]

person("Po-Hsien", "Huang", role = c("aut", "cre"),
email = "psyphh@gmail.com")
Conduct latent structure learning methods, particularly
structural equation modeling via penalized likelihood.

Conduct structural equation modeling via penalized likelihood.

Fits structural equation modeling via penalized likelihood.