crawl - Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data
Fit continuous-time correlated random walk models with time indexed covariates to animal telemetry data. The model is fit using the Kalman-filter on a state space version of the continuous-time stochastic movement process.
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openblascpp
7.70 score 21 stars 3 dependents 74 scripts 735 downloadscrawl - Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data
Fit continuous-time correlated random walk models with time indexed covariates to animal telemetry data. The model is fit using the Kalman-filter on a state space version of the continuous-time stochastic movement process.
Last updated
openblascpp
7.69 score 21 stars 3 dependents 72 scripts 753 downloadsmarked - Mark-Recapture Analysis for Survival and Abundance Estimation
Functions for fitting various models to capture-recapture data including mixed-effects Cormack-Jolly-Seber(CJS) and multistate models and the multi-variate state model structure for survival estimation and POPAN structured Jolly-Seber models for abundance estimation. There are also Hidden Markov model (HMM) implementations of CJS and multistate models with and without state uncertainty and a simulation capability for HMM models.
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cpp
6.11 score 11 stars 1 dependents 98 scripts 591 downloadspicMaps - Mapping Utilities for The Pacific Ocean
This package provides objects and functions for making plots and maps easier to create in the Pacific Ocean.
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3.68 score 4 stars 24 scriptswalk - Model Animal Movement With Continuous-Time Markov Chains
Model animal movement using continuous-time Markov chain models.
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openblascppopenmp
2.70 score 1 stars 1 scriptsexpQ2 - Non-negative vector * exp of rate matrix
Calculate `v'exp(Q)` by uniformisation or scaling and squaring, or exp(Q) by scaling and squaring. This is a duplicate of the `expQ` package written by Chris Sherlock hosted at "https://github.com/ChrisGSherlock/expQ" with changes made to pass R CRAN checks.
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openblascppopenmp
2.48 score 2 dependentsmultAbund - Model Multivariate Abundance and Occurence Using the Dirichlet Process Prior
This package provides RJMCMC samplers to make Bayesian inference for Joint Species Distribution models (JSDM) using a Dirichlet Process clustering method. The DP clustering method allows species to be grouped into functional guilds for modeling between species associations in abundance or occurence values at surveyed sites.
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openblascpp
2.18 score 3 stars 4 scriptsmarkedTMB - Mark-Recapture Analysis for Survival Estimation
Functions for fitting various models to capture-recapture data including mixed-effects multistate models, multi-variate state models and multistate live and dead recovery structure for survival estimation. All models are implemented with TMB.
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1.70 score 1 stars 1 scriptsmoveMMPP - Fit Continuous-Time Markov Modulated Poisson Process Movement Models to Animal Resight Data
Using animal resight data, the package functions allow the user to estimate movement rates and resource selection using a continuous-time Markov chain movement model.
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openblascppopenmp
1.48 scorestocc - Fit a Spatial Occupancy Model via Gibbs Sampling
Fit a spatial-temporal occupancy models using a probit formulation instead of a traditional logit model.
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1.20 score 1 stars 16 scripts 184 downloads