The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 0.7.2
Depends: R (≥ 2.10)
Imports: Rcpp, methods, stats, apcluster, cluster, dplyr, ggplot2
LinkingTo: Rcpp
Published: 2018-01-04
DOI: 10.32614/CRAN.package.ipft
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

Documentation:

Reference manual: ipft.pdf

Downloads:

Package source: ipft_0.7.2.tar.gz
Windows binaries: r-devel: ipft_0.7.2.zip, r-release: ipft_0.7.2.zip, r-oldrel: ipft_0.7.2.zip
macOS binaries: r-release (arm64): ipft_0.7.2.tgz, r-oldrel (arm64): ipft_0.7.2.tgz, r-release (x86_64): ipft_0.7.2.tgz, r-oldrel (x86_64): ipft_0.7.2.tgz
Old sources: ipft archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ipft to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.