Package: moveHMM
Type: Package
Title: Animal Movement Modelling using Hidden Markov Models
Version: 1.2
Date: 2016-06-04
Author: Theo Michelot, Roland Langrock, Toby Patterson, Eric Rexstad (ctb)
Maintainer: Theo Michelot <tmichelot1@sheffield.ac.uk>
Description: Provides tools for animal movement modelling using hidden Markov
models. These include processing of tracking data, fitting hidden Markov models
to movement data, visualization of data and fitted model, decoding of the
state process...
URL: https://github.com/TheoMichelot/moveHMM,
https://cran.r-project.org/ package=moveHMM
License: GPL-3
LazyData: TRUE
Depends: CircStats
Imports: Rcpp, boot, MASS, sp, ggplot2, ggmap
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr
VignetteBuilder: knitr
RoxygenNote: 5.0.0
NeedsCompilation: yes
Packaged: 2016-06-04 18:45:54 UTC; theo
Repository: CRAN
Date/Publication: 2016-06-04 12:43:55
Package: LogicForest
Type: Package
Title: Logic Forest
Version: 2.1.0
Date: 2014-09-18
Author: Bethany Wolf
Maintainer: Bethany Wolf <wolfb@musc.edu>
Depends: R (>= 2.10), LogicReg, CircStats
Imports: gtools, plotrix
Description: Two classification ensemble methods based on logic regression models. LogForest uses a bagging approach to construct an ensemble of logic regression models. LBoost uses a combination of boosting and cross-validation to construct an ensemble of logic regression models. Both methods are used for classification of binary responses based on binary predictors and for identification of important variables and variable interactions predictive of a binary outcome.
License: GPL-2
Packaged: 2014-09-18 18:56:11 UTC; wolfb
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-19 00:46:31
providing 
.