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: 2026-02-10 14:41:39 UTC; emilio
Author: Emilio Sansano [aut, cre],
  Raúl Montoliu [ctb]
Repository: CRAN
Date/Publication: 2026-02-10 15:00:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 13:37:49 UTC; unix
Archs: ipft.so.dSYM
