Package: missPLS
Type: Package
Title: Methods and Reproducible Workflows for Partial Least Squares
        with Missing Data
Version: 0.2.0
Date: 2026-04-07
Depends: R (>= 4.1.0)
Imports: mice, plsRglm, stats, utils, VIM
Suggests: bcv, knitr, mlbench, plsdof, rmarkdown, testthat (>= 3.0.0)
Authors@R: c(
    person("Titin Agustin", "Nengsih", role = "aut"),
    person("Frederic", "Bertrand", role = c("aut", "cre"), email = "frederic.bertrand@lecnam.net"),
    person("Myriam", "Maumy-Bertrand", role = "aut"))
Author: Titin Agustin Nengsih [aut], Frederic Bertrand [aut, cre],
        Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Methods-first tooling for reproducing and extending the
        partial least squares regression studies on incomplete data
        described in Nengsih et al. (2019)
        <doi:10.1515/sagmb-2018-0059>. The package provides simulation
        helpers, missingness generators, imputation wrappers,
        component-selection utilities, real-data diagnostics, and
        reproducible study orchestration for Nonlinear Iterative
        Partial Least Squares (NIPALS)-Partial Least Squares (PLS)
        workflows.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
URL: https://fbertran.github.io/missPLS/,
        https://github.com/fbertran/missPLS
BugReports: https://github.com/fbertran/missPLS/issues
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libxml2-dev
        libx11-dev zlib1g-dev
Repository: https://fbertran.r-universe.dev
Date/Publication: 2026-04-11 00:12:44 UTC
RemoteUrl: https://github.com/fbertran/misspls
RemoteRef: HEAD
RemoteSha: abea2f35e91b69a2a355512c468345a6f6afe130
NeedsCompilation: no
Packaged: 2026-06-04 17:19:56 UTC; root