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ipft  

Indoor Positioning Fingerprinting Toolset
View on CRAN: Click here


Download and install ipft package within the R console
Install from CRAN:
install.packages("ipft")

Install from Github:
library("remotes")
install_github("cran/ipft")

Install by package version:
library("remotes")
install_version("ipft", "0.7.2")



Attach the package and use:
library("ipft")
Maintained by
Emilio Sansano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-15
Latest Update: 2018-01-04
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.
How to cite:
Emilio Sansano (2017). ipft: Indoor Positioning Fingerprinting Toolset. R package version 0.7.2, https://cran.r-project.org/web/packages/ipft
Previous versions and publish date:
0.1.03 (2017-02-15 14:28), 0.2.2 (2017-02-21 16:51), 0.2.8 (2017-03-02 17:05), 0.3.1 (2017-03-16 03:19), 0.5 (2017-04-11 14:30), 0.6 (2017-05-10 14:28), 0.7.1 (2017-08-29 17:41)
Other packages that cited ipft R package
View ipft citation profile
Other R packages that ipft depends, imports, suggests or enhances
Functions, R codes and Examples using the ipft R package
Some associated functions: ipfCluster . ipfDistance . ipfEstimate . ipfEstimateBeaconPositions . ipfGroup . ipfKnn . ipfPlotEcdf . ipfPlotEstimation . ipfPlotLocation . ipfPlotPdf . ipfProbabilistic . ipfProximity . ipfRMID . ipfTransform . ipfpwap . ipftest . ipftrain . 
Some associated R codes: RcppExports.R . data.R . ipft.R .  Full ipft package functions and examples
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