ipft: Indoor Positioning Fingerprinting Toolset

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.

Version: 0.7.1
Depends: R (≥ 2.10)
Imports: Rcpp, methods, stats, apcluster, cluster, dplyr, ggplot2
LinkingTo: Rcpp
Published: 2017-08-29
Author: Emilio Sansano [aut, cre], Raúl Montoliu [ctb]
Maintainer: Emilio Sansano <esansano at uji.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: ipft results

Downloads:

Reference manual: ipft.pdf
Package source: ipft_0.7.1.tar.gz
Windows binaries: r-devel: ipft_0.7.1.zip, r-release: ipft_0.7.1.zip, r-oldrel: ipft_0.7.1.zip
OS X El Capitan binaries: r-release: ipft_0.7.1.tgz
OS X Mavericks binaries: r-oldrel: ipft_0.7.1.tgz
Old sources: ipft archive

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