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ipft

Indoor Positioning Fingerprinting Toolset

v0.7.3 · Feb 10, 2026 · GPL (>= 2)

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.

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CRAN Check Status

14 OK
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Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp apcluster cluster dplyr ggplot2 ipft

Version History

new 0.7.3 Mar 10, 2026
updated 0.7.3 ← 0.7.2 diff Feb 9, 2026
updated 0.7.2 ← 0.7.1 diff Jan 3, 2018
updated 0.7.1 ← 0.6 diff Aug 28, 2017
updated 0.6 ← 0.5 diff May 9, 2017
updated 0.5 ← 0.3.1 diff Apr 10, 2017
updated 0.3.1 ← 0.2.8 diff Mar 15, 2017
updated 0.2.8 ← 0.2.2 diff Mar 1, 2017
updated 0.2.2 ← 0.1.03 diff Feb 20, 2017
new 0.1.03 Feb 14, 2017