Modeling Animal Movement with Continuous-Time Discrete-Space
Markov Chains
Software to facilitates taking movement data in xyt format and pairing it with raster covariates within a continuous time Markov chain (CTMC) framework.  As described in Hanks et al. (2015), this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.

Software to facilitates taking movement data in xyt format and pairing it with raster covariates within a continuous time Markov chain (CTMC) framework.  As described in Hanks et al. (2015) <DOI:10.1214/14-AOAS803> , this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.

R (>= 2.10), raster, Matrix, fda, gdistance, sp

Collaborative Targeted Maximum Likelihood Estimation
c(person("Cheng", "Ju", email = "jucheng1992@gmail.com", role = c("aut", "cre")),person("Susan", "Gruber", role = c("aut")),person("Richard", "Wyss", role = c("ctb")),person("Jenny","Haggstrom", role = c("ctb")),person("Mark", "van der Laan", role = c("aut", "ths")))
Implements the general template for collaborative targeted maximum likelihood estimation. It also provides several commonly used C-TMLE instantiation, like the vanilla/scalable variable-selection C-TMLE (Ju et al. (2017) <doi:10.1177/0962280217729845>) and the glmnet-C-TMLE algorithm (Ju et al. (2017) <arXiv:1706.10029>).
R (>= 2.14.0), SuperLearner, tmle, glmnet, stats
Cheng Ju [aut, cre],
Susan Gruber [aut],
Richard Wyss [ctb],
Jenny Haggstrom [ctb],
Mark van der Laan [aut, ths]

expm, graphics, grDevices, manipulate, MASS, Matrix, methods,
numDeriv, raster, rgdal, sp, stats, utils
Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data.

expm, graphics, grDevices, manipulate, MASS, Matrix, methods,
numDeriv, pbivnorm, raster, rgdal, shape, sp, stats, utils

expm, graphics, grDevices, manipulate, MASS, Matrix, methods,
numDeriv, pbivnorm, raster, rgdal, sp, stats, utils