Package: Blend
Type: Package
Title: Robust Bayesian Longitudinal Regularized Semiparametric Mixed
        Models
Version: 0.1.2
Date: 2026-02-16
Authors@R: c( person("Kun", "Fan", role = c("aut", "cre") , email = "kfan@ksu.edu"),
              person("Cen", "Wu", role = "aut"))
Description: Our recently developed fully robust Bayesian
        semiparametric mixed-effect model for high-dimensional
        longitudinal studies with heterogeneous observations can be
        implemented through this package. This model can distinguish
        between time-varying interactions and constant-effect-only
        cases to avoid model misspecifications. Facilitated by
        spike-and-slab priors, this model leads to superior performance
        in estimation, identification and statistical inference. In
        particular, robust Bayesian inferences in terms of valid
        Bayesian credible intervals on both parametric and
        nonparametric effects can be validated on finite samples. The
        Markov chain Monte Carlo algorithms of the proposed and
        alternative models are efficiently implemented in 'C++'.
Depends: R (>= 4.2.0)
License: GPL-2
Encoding: UTF-8
URL: https://github.com/kunfa/Blend
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, splines, stats, ggplot2
RoxygenNote: 7.3.3
Repository: https://kunfa.r-universe.dev
Date/Publication: 2026-02-16 19:50:15 UTC
RemoteUrl: https://github.com/kunfa/blend
RemoteRef: HEAD
RemoteSha: 3743469a02d2f06148fa7c25663af9eeb9f808eb
NeedsCompilation: yes
Packaged: 2026-06-16 08:36:43 UTC; root
Author: Kun Fan [aut, cre],
  Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>