Package: cppSim
Title: Fast and Memory Efficient Spatial Interaction Models
Version: 0.2
Authors@R: 
    person(given = "Ivann", family = "Schlosser", email = "ivann.schlosser.19@ucl.ac.uk", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0004-4099-3198"))
Author: Ivann Schlosser [aut, cre] (ORCID:
        <https://orcid.org/0009-0004-4099-3198>)
Maintainer: Ivann Schlosser <ivann.schlosser.19@ucl.ac.uk>
Description: Building on top of the 'RcppArmadillo' linear algebra
        functionalities to do fast spatial interaction models in the
        context of urban analytics, geography, transport modelling. It
        uses the Newton root search algorithm to determine the optimal
        cost exponent and can run country level models with thousands
        of origins and destinations. It aims at implementing an easy
        approach based on matrices, that can originate from various
        routing and processing steps earlier in an workflow. Currently,
        the simplest form of production, destination and doubly
        constrained models are implemented. Schlosser et al. (2023)
        <doi:10.48550/arXiv.2309.02112>.
Date: 2025-08-29
License: MIT + file LICENSE
URL: https://ischlo.github.io/cppSim/, https://github.com/ischlo/cppSim
Depends: R (>= 3.6)
Imports: Rcpp
Suggests: data.table, foreach, knitr, rlist, rmarkdown, cli, sf,
        testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
RoxygenNote: 7.3.1
SystemRequirements: Quarto command line tools
        (https://github.com/quarto-dev/quarto-cli).
NeedsCompilation: yes
Packaged: 2026-10-24 08:33:45 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2025-09-03 21:29:30 UTC
RemoteUrl: https://github.com/cran/cppSim
RemoteRef: HEAD
RemoteSha: 38843159a21ef9abeadd194a17dee75163aea2d0