Package: PRC
Type: Package
Title: Principal Response Curves (PRC) For Displaying Multivariate Main
        Effects And Interactions
Version: 2.0.0
Authors@R: person(given ="Cajo J.F", family = "ter Braak", email="cajo.terbraak@wur.nl", 
   role=c("aut","cre"), comment=c(ORCID="0000-0002-0414-8745"))
Maintainer: Cajo J.F. ter Braak <cajo.terbraak@wur.nl>
Description: PRC is a small \code{vegan}- and \code{LMMsolver}-based
        package to create and display Principal Response Curves (PRC)
        and smooth Principal Response Curves (PRC). PRC is a special
        case of Redundancy Analysis (rda) for multivariate responses in
        designed experiments and repeated measurement designs. PRC
        expresses ordination scores as deviation from a reference,
        usually to visualize multivariate A-dependent effects (e.g
        time-dependent effects) of a treatment B in (un)balanced
        factorial experiments. The main user functions are
        \code{\link{doPRC}}, \code{\link{plotPRC}},
        \code{\link{plotPRC2d}} and \code{\link{smoothPRC}}. The
        easiest example is the code demo \code{PRC_pyrifos}.
URL: https://doi.org/10.1002/etc.5620180207,
        https://doi.org/10.1016/j.chemolab.2023.104898
BugReports: https://github.com/CajoterBraak/PRC/issues
Depends: R (>= 4.1.0)
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
Imports: LMMsolver, permute, vegan (>= 2.6-8), spam, dplyr, ggplot2 (>=
        3.5.1), latex2exp, ggrepel, gridExtra, rlang
Suggests: rmarkdown, knitr
RoxygenNote: 7.3.3
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2026-06-17 07:10:28 UTC; root
Repository: https://cajoterbraak.r-universe.dev
Date/Publication: 2026-05-18 08:51:48 UTC
RemoteUrl: https://github.com/CajoterBraak/PRC
RemoteRef: HEAD
RemoteSha: e194d4d9d6b0f06348ff2117da578fb54117340b
Author: Cajo J.F ter Braak [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0414-8745>)