Package: ipft
Type: Package
Title: Indoor Positioning Fingerprinting Toolset
Depends: R (>= 2.10)
Version: 0.7.3
Authors@R: c(
    person("Emilio", "Sansano", email = "esansano@uji.es", role = c("aut", "cre")),
    person("Raúl", "Montoliu", email = "montoliu@uji.es", role = "ctb"))
Maintainer: Emilio Sansano <esansano@uji.es>
Description: Algorithms and utility functions for indoor positioning
        using fingerprinting techniques. These functions are designed
        for manipulation of RSSI (Received Signal Strength Intensity)
        data sets, estimation of positions,comparison of the
        performance of different models, and graphical visualization of
        data. Machine learning algorithms and methods such as k-nearest
        neighbors or probabilistic fingerprinting are implemented in
        this package to perform analysis and estimations over RSSI data
        sets.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
LinkingTo: Rcpp
Imports: Rcpp, methods, stats, apcluster, cluster, dplyr (>= 1.0.0),
        ggplot2
NeedsCompilation: yes
Packaged: 2026-10-08 08:41:53 UTC; root
Author: Emilio Sansano [aut, cre], Raúl Montoliu [ctb]
Repository: https://esansano.r-universe.dev
Date/Publication: 2026-02-10 15:00:02 UTC
RemoteUrl: https://github.com/cran/ipft
RemoteRef: HEAD
RemoteSha: 78ed1b6e5e3fa1a006be5c7fcae9dd678197f206