Statistical Modeling of Animal Movements


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Documentation for package ‘smam’ version 0.7.2

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smam-package smam: Statistical Modeling of Animal Movements
approxNormalOrder Auxiliary for Preparing Discrete Distribution used to approximating Standard Normal Distribution
approxNormalOrder2 Auxiliary for Preparing Discrete Distribution used to approximating Standard Normal Distribution
dtm Density for Time Spent in Moving or Resting
dtr Density for Time Spent in Moving or Resting
estimate Estimate Result of smam Estimators
estimate.smam_bmme Estimate Result of smam Estimators
estimate.smam_mm Estimate Result of smam Estimators
estimate.smam_mr Estimate Result of smam Estimators
estimate.smam_mrh Estimate Result of smam Estimators
estimate.smam_mrme Estimate Result of smam Estimators
estVarMM Fit a Moving-Moving Model with 2 Embedded Brownian Motion
estVarMRMEnaive_Godambe Variance matrix of estimators from moving-resting process with measurement error
estVarMRMEnaive_pBootstrap Variance matrix of estimators from moving-resting process with measurement error
estVarMRME_Godambe Variance matrix of estimators from moving-resting process with measurement error
estVarMRME_pBootstrap Variance matrix of estimators from moving-resting process with measurement error
f109 GPS data of f109
f109raw GPS data of f109 (raw format)
fitBMME Fit a Brownian Motion with Measurement Error
fitBmme Fit a Brownian Motion with Measurement Error
fitMM Fit a Moving-Moving Model with 2 Embedded Brownian Motion
fitMovRes Fit a Moving-Resting Model with Embedded Brownian Motion
fitMR Fit a Moving-Resting Model with Embedded Brownian Motion
fitMRH Fit a Moving-Resting-Handling Model with Embedded Brownian Motion
fitMRME Fit a Moving-Resting Model with Measurement Error
fitMRMEapprox Fit a Moving-Resting Model with Measurement Error
fitMRME_naive Fit a Moving-Resting Model with Measurement Error
fitPartialViterbiMR Estimation of states at each time point with Moving-Resting Process
fitPartialViterbiMRH Estimation of states at each time point with Moving-Resting-Handling Process
fitStateMR Estimation of states at each time point with Moving-Resting Process
fitStateMRH Estimation of states at each time point with Moving-Resting-Handling Process
fitViterbiMR Estimation of states at each time point with Moving-Resting Process
fitViterbiMRH Estimation of states at each time point with Moving-Resting-Handling Process
integr.control Auxiliary for Controlling Numerical Integration
rBB Sampling from a Brownian bridge path give a grid time
rBMME Sampling from Brown Motion with Measurement Error
rBmme Sampling from Brown Motion with Measurement Error
rMM Sampling from a Moving-Moving Process with 2 Embedded Brownian Motion
rMovRes Sampling from a Moving-Resting Process with Embedded Brownian Motion
rMR Sampling from a Moving-Resting Process with Embedded Brownian Motion
rMRB Sampling from a Moving-Resting bridge
rMRH Sampling from a Moving-Resting-Handling Process with Embedded Brownian Motion
rMRME Sampling from a Moving-Resting Process with Embedded Brownian Motion
seasonFilter Subsetting data during given season for each year (seasonal analysis toolbox)
smam smam: Statistical Modeling of Animal Movements
transfData Transfer raw dataset to the standard dataset (seasonal analysis toolbox)
vcov Variance-Covariance Matrix of smam Estimators
vcov.smam_bmme Variance-Covariance Matrix of smam Estimators
vcov.smam_mm Variance-Covariance Matrix of smam Estimators
vcov.smam_mr Variance-Covariance Matrix of smam Estimators
vcov.smam_mrh Variance-Covariance Matrix of smam Estimators
vcov.smam_mrme Variance-Covariance Matrix of smam Estimators