Package: spfa
Type: Package
Title: Semi-Parametric Factor Analysis
Version: 1.0
Date: 2023-04-25
Authors@R: c(
    person("Yang", family = "Liu", email = "yliu87@umd.edu", role = c("cre","aut")),
    person("Weimeng", family = "Wang", email = "weimengbonnie@gmail.com", role = c("aut","ctb")))
Maintainer: Yang Liu <yliu87@umd.edu>
Description: Estimation, scoring, and plotting functions for the
        semi-parametric factor model proposed by Liu & Wang (2022)
        <doi:10.1007/s11336-021-09832-8> and Liu & Wang (2023)
        <arXiv:2303.10079>. Both the conditional densities of observed
        responses given the latent factors and the joint density of
        latent factors are estimated non-parametrically. Functional
        parameters are approximated by smoothing splines, whose
        coefficients are estimated by penalized maximum likelihood
        using an expectation-maximization (EM) algorithm. E- and
        M-steps can be parallelized on multi-thread computing platforms
        that support 'OpenMP'. Both continuous and unordered
        categorical response variables are supported.
License: MIT + file LICENSE
Imports: graphics, Rcpp
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.2.3
LazyData: true
Encoding: UTF-8
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2026-07-07 09:13:19 UTC; root
Author: Yang Liu [cre, aut], Weimeng Wang [aut, ctb]
Repository: https://yliu87.r-universe.dev
Date/Publication: 2023-05-26 07:20:02 UTC
RemoteUrl: https://github.com/cran/spfa
RemoteRef: HEAD
RemoteSha: 0f18b7a1db8cb601ad3146cae34e87358311c667