Other packages > Find by keyword >

m2b  

Movement to Behaviour Inference using Random Forest
View on CRAN: Click here


Download and install m2b package within the R console
Install from CRAN:
install.packages("m2b")

Install from Github:
library("remotes")
install_github("cran/m2b")

Install by package version:
library("remotes")
install_version("m2b", "1.1.0")



Attach the package and use:
library("m2b")
Maintained by
Laurent Dubroca
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-03
Latest Update: 2025-06-25
Description:
Prediction of behaviour from movement characteristics using observation and random forest for the analyses of movement data in ecology. From movement information (speed, bearing...) the model predicts the observed behaviour (movement, foraging...) using random forest. The model can then extrapolate behavioural information to movement data without direct observation of behaviours. The specificity of this method relies on the derivation of multiple predictor variables from the movement data over a range of temporal windows. This procedure allows to capture as much information as possible on the changes and variations of movement and ensures the use of the random forest algorithm to its best capacity. The method is very generic, applicable to any set of data providing movement data together with observation of behaviour.
How to cite:
Laurent Dubroca (2017). m2b: Movement to Behaviour Inference using Random Forest. R package version 1.1.0, https://cran.r-project.org/web/packages/m2b. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:27), 1.0 (2017-05-04 00:10)
Other packages that cited m2b R package
View m2b citation profile
Other R packages that m2b depends, imports, suggests or enhances
Complete documentation for m2b
Functions, R codes and Examples using the m2b R package
Some associated functions: dxyt . dxyt2 . extractRF . ltraj2xytb . m2b . modelRF . plot-methods . resB . resRF . shiftvalue . test . track_CAGA_005 . xytb-class . xytb-methods . xytb2hmm . xytb2ltraj . 
Some associated R codes: data.R . m2b.R . xytb-class.R .  Full m2b package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA