The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
| 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 |
| Reference manual: | ipft.pdf |
| 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 |
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.
Health stats visible at Monitor.