Package: drugDemand
Type: Package
Title: Drug Demand Forecasting
Version: 0.1.0
Date: 2023-10-20
Authors@R: 
    person("Kaifeng", "Lu", , "kaifenglu@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6160-7119"))
Description: Performs drug demand forecasting by modeling drug dispensing data while taking into account predicted enrollment and treatment discontinuation dates. The number of skipped visits and the number of dispensed doses are modeled using zero-inflated Poisson or zero-inflated negative binomial distributions (Zeileis, Kleiber & Jackman (2008) <doi:10.18637/jss.v027.i08>) and a linear mixed-effects model (McCulloch & Searle (2001, ISBN:0-471-19364-X)), respectively.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.10), dplyr (>= 1.1.0), rlang (>= 1.1.0), purrr
        (>= 1.0.2), plotly (>= 4.10.1), survival (>= 2.41-3), mvtnorm
        (>= 1.1-3), erify (>= 0.4.0), stats (>= 3.5.0), icenReg (>=
        2.0.15), pscl (>= 1.5.5), nlme (>= 3.1-153), eventPred (>=
        0.2.0), parallel (>= 4.1.2), foreach (>= 1.5.2), doParallel (>=
        1.0.17), doRNG (>= 1.8.6), tictoc (>= 1.2)
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
LazyData: true
RoxygenNote: 7.2.3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-10-20 17:15:20 UTC; kaife
Author: Kaifeng Lu [aut, cre] (<https://orcid.org/0000-0002-6160-7119>)
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Repository: CRAN
Date/Publication: 2023-10-23 16:10:06 UTC
