Function reference • ctmm

All functions
`rsf.fit()` `rsf.select()`	Fit integrated resource selection functions (iRSFs) with autocorrelation-adjusted weighted likelihood
`akde()` `pkde()`	Calculate an autocorrelated kernel density estimate
`as.telemetry()` `summary(<telemetry>)` `head()` `tail()` `tbind()`	Import, coerce, summarize, and combine MoveBank data
`bandwidth()`	Calculate the optimal bandwidth matrix of movement data
`buffalo`	African buffalo GPS dataset from Kruger National Park, South Africa.
`cluster()`	Clustering of movement-model parameters
`coati`	Coatis on Barro Colorado Island, Panama.
`annotate()` `color()`	Color telemetry objects by time
`ctmm-FAQ` `ctmm-faq`	ctmm FAQ
`ctmm-package`	Continuous-time movement modeling
`ctmm.boot()`	Parametric bootstrap continuous-time movement models
`ctmm()` `ctmm.loglike()` `ctmm.fit()` `ctmm.select()`	Specify, fit, and select continuous-time movement models
`difference()` `midpoint()` `distances()` `proximity()`	Estimate the proximity of two individuals
`distance()`	Calculate the square distance between two distributions or location estimates
`dt.plot()`	Functions for diagnosing sampling schedules
`emulate()`	Draw a random model-fit from the sampling distribution
`encounter()` `cde()`	Encounter statistics
`as.sf()` `raster(<UD>)` `SpatialPoints.telemetry()` `SpatialPointsDataFrame.telemetry()` `SpatialPolygonsDataFrame.telemetry()` `SpatialPolygonsDataFrame.UD()` `writeRaster(<UD>,<character>)` `writeVector(<list>,<character>)` `writeVector(<list>,<missing>)` `writeVector(<telemetry>,<character>)` `writeVector(<telemetry>,<missing>)` `writeVector(<UD>,<character>)` `writeVector(<UD>,<missing>)`	Export ctmm data formats
`extent(<telemetry>)` `extent(<ctmm>)` `extent(<UD>)` `extent(<variogram>)` `extent(<list>)` `extent(<data.frame>)` `extent(<matrix>)`	Extent
`gazelle`	Mongolian gazelle GPS dataset from the Mongolia's Eastern Steppe.
`homerange()` `agde()` `suitability()`	Calculate a range distribution estimate
`intensity()`	Compare empirical and theoretical intensity (resource-selection) functions [IN DEVELOPMENT]
`jaguar`	Jaguar data from the Jaguar movement database.
`Log()` `Exp()`	Log transformation of parameter estimates and their uncertainties
`mean(<ctmm>)` `mean(<UD>)`	Average movement models and autocorrelated kernel density estimates
`mean(<variogram>)`	Compute a number-weighted average of variogram objects
`meta()` `funnel()`	Meta-analysis of movement-model parameters
`npr()`	Calculate a non-parametric regression surface
`occurrence()`	Calculate a Kriged occurrence distribution estimate
`optimizer()`	Minimize a function
`outlie()` `plot(<outlie>)`	Methods to facilitate outlier detection.
`overlap()`	Calculate the overlap between two stationary distributions
`pelican`	Brown Pelican GPS and ARGOS data.
`periodogram()` `plot(<periodogram>)`	Calculate the Lomb-Scargle periodogram of animal-tracking data
`plot()` `zoom(<list>)` `zoom(<telemetry>)` `zoom(<UD>)`	Plotting methods for telemetry objects
`plot(<variogram>)` `zoom(<variogram>)`	Plotting methods for variogram objects.
`projection(<telemetry>)` `projection(<ctmm>)` `projection(<UD>)` `projection(<list>)` `projection(<NULL>)` `projection<-`(<telemetry>) `projection<-`(<list>) `median(<telemetry>)` `compass()`	Projection
`residuals(<ctmm>)` `residuals(<telemetry>)` `correlogram()` `mag()`	Calculate model fit residuals and assess their autocorrelation
`revisitation()`	Calculate an revisitation distribution estimate
`sdm.fit()` `sdm.select()` `sdm.integrate()`	Fit species distribution models (SDMs) [IN DEVELOPMENT]
`lasso()` `marquee()` `cleave()`	Spatial selection methods for telemetry objects.
`dimfig()` `sigfig()`	Scientific formatting of numbers
`predict()` `simulate()`	Predict or simulate from a continuous-time movement model
`speed()` `speeds()`	Estimate the average speed of a tracked animal
`summary(<UD>)`	Summarize a range distribution
`summary(<ctmm>)`	Summarize a continuous-time movement model
`turtle`	Wood turtle GPS and calibration dataset from Working Land and Seascapes.
`uere()` `uere<-`() `uere.fit()` `summary(<UERE>)`	Estimate RMS UERE from calibration data
`%#%`	Convert dimensionful quantities to and from SI units
`variogram()`	Calculate an empirical variogram from movement data
`ctmm.guess()` `variogram.fit()`	Visually fit a movement model to a variogram
`video()`	Video record animated telemetry objects.
`wolf`	Maned wolf GPS dataset from The Maned Wolf Conservation Program.

Reference

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