A B C D E F G H I J L M N O P R S T U V W Z misc
| ctmm-package | Continuous-time movement modeling | 
| agde | Calculate a range distribution estimate | 
| akde | Calculate an autocorrelated kernel density estimate | 
| akde.list | Calculate an autocorrelated kernel density estimate | 
| akde.telemetry | Calculate an autocorrelated kernel density estimate | 
| annotate | Color telemetry objects by time | 
| as.sf | Export ctmm data formats | 
| as.telemetry | Import, coerce, summarize, and combine MoveBank data | 
| as.telemetry.character | Import, coerce, summarize, and combine MoveBank data | 
| as.telemetry.data.frame | Import, coerce, summarize, and combine MoveBank data | 
| as.telemetry.Move | 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. | 
| cde | Encounter statistics | 
| cleave | Spatial selection methods for telemetry objects. | 
| cluster | Clustering of movement-model parameters | 
| coati | Coatis on Barro Colorado Island, Panama. | 
| color | Color telemetry objects by time | 
| compass | Projection | 
| correlogram | Calculate model fit residuals and assess their autocorrelation | 
| ctmm | Specify, fit, and select continuous-time movement models | 
| ctmm-FAQ | ctmm FAQ | 
| ctmm-faq | ctmm FAQ | 
| ctmm.boot | Parametric bootstrap continuous-time movement models | 
| ctmm.fit | Specify, fit, and select continuous-time movement models | 
| ctmm.guess | Visually fit a movement model to a variogram | 
| ctmm.loglike | Specify, fit, and select continuous-time movement models | 
| ctmm.select | Specify, fit, and select continuous-time movement models | 
| difference | Estimate the proximity of two individuals | 
| dimfig | Scientific formatting of numbers | 
| distance | Calculate the square distance between two distributions or location estimates | 
| distances | Estimate the proximity of two individuals | 
| dt.plot | Functions for diagnosing sampling schedules | 
| emulate | Draw a random model-fit from the sampling distribution | 
| emulate.ctmm | Draw a random model-fit from the sampling distribution | 
| emulate.telemetry | Draw a random model-fit from the sampling distribution | 
| encounter | Encounter statistics | 
| Exp | Log transformation of parameter estimates and their uncertainties | 
| export | Export ctmm data formats | 
| extent | Extent | 
| extent-method | Extent | 
| funnel | Meta-analysis of movement-model parameters | 
| gazelle | Mongolian gazelle GPS dataset from the Mongolia's Eastern Steppe. | 
| head | Import, coerce, summarize, and combine MoveBank data | 
| head.telemetry | Import, coerce, summarize, and combine MoveBank data | 
| homerange | Calculate a range distribution estimate | 
| intensity | Compare empirical and theoretical intensity (resource-selection) functions [IN DEVELOPMENT] | 
| jaguar | Jaguar data from the Jaguar movement database. | 
| lasso | Spatial selection methods for telemetry objects. | 
| Log | Log transformation of parameter estimates and their uncertainties | 
| mag | Calculate model fit residuals and assess their autocorrelation | 
| mag.telemetry | Calculate model fit residuals and assess their autocorrelation | 
| marquee | Spatial selection methods for telemetry objects. | 
| mean.ctmm | Average movement models and autocorrelated kernel density estimates | 
| mean.UD | Average movement models and autocorrelated kernel density estimates | 
| mean.variogram | Compute a number-weighted average of variogram objects | 
| median | Projection | 
| median.telemetry | Projection | 
| meta | Meta-analysis of movement-model parameters | 
| midpoint | Estimate the proximity of two individuals | 
| npr | Calculate a non-parametric regression surface | 
| occurrence | Calculate a Kriged occurrence distribution estimate | 
| optimizer | Minimize a function | 
| outlie | Methods to facilitate outlier detection. | 
| outlier | Methods to facilitate outlier detection. | 
| overlap | Calculate the overlap between two stationary distributions | 
| pelican | Brown Pelican GPS and ARGOS data. | 
| periodogram | Calculate the Lomb-Scargle periodogram of animal-tracking data | 
| pkde | Calculate an autocorrelated kernel density estimate | 
| plot | Plotting methods for telemetry objects | 
| plot.outlie | Methods to facilitate outlier detection. | 
| plot.periodogram | Calculate the Lomb-Scargle periodogram of animal-tracking data | 
| plot.telemetry | Plotting methods for telemetry objects | 
| plot.variogram | Plotting methods for variogram objects. | 
| predict | Predict or simulate from a continuous-time movement model | 
| predict.ctmm | Predict or simulate from a continuous-time movement model | 
| predict.telemetry | Predict or simulate from a continuous-time movement model | 
| projection | Projection | 
| projection-method | Projection | 
| projection<--method | Projection | 
| proximity | Estimate the proximity of two individuals | 
| raster-method | Export ctmm data formats | 
| residuals | Calculate model fit residuals and assess their autocorrelation | 
| residuals.ctmm | Calculate model fit residuals and assess their autocorrelation | 
| residuals.telemetry | Calculate model fit residuals and assess their autocorrelation | 
| revisitation | Calculate an revisitation distribution estimate | 
| rsf.fit | Fit integrated resource selection functions (iRSFs) with autocorrelation-adjusted weighted likelihood | 
| rsf.select | Fit integrated resource selection functions (iRSFs) with autocorrelation-adjusted weighted likelihood | 
| sdm.fit | Fit species distribution models (SDMs) [IN DEVELOPMENT] | 
| sdm.integrate | Fit species distribution models (SDMs) [IN DEVELOPMENT] | 
| sdm.select | Fit species distribution models (SDMs) [IN DEVELOPMENT] | 
| sigfig | Scientific formatting of numbers | 
| simulate | Predict or simulate from a continuous-time movement model | 
| simulate.ctmm | Predict or simulate from a continuous-time movement model | 
| simulate.telemetry | Predict or simulate from a continuous-time movement model | 
| SpatialPoints.telemetry | Export ctmm data formats | 
| SpatialPointsDataFrame.telemetry | Export ctmm data formats | 
| SpatialPolygonsDataFrame.telemetry | Export ctmm data formats | 
| SpatialPolygonsDataFrame.UD | Export ctmm data formats | 
| speed | Estimate the average speed of a tracked animal | 
| speed.ctmm | Estimate the average speed of a tracked animal | 
| speed.telemetry | Estimate the average speed of a tracked animal | 
| speeds | Estimate the average speed of a tracked animal | 
| speeds.ctmm | Estimate the average speed of a tracked animal | 
| speeds.telemetry | Estimate the average speed of a tracked animal | 
| suitability | Calculate a range distribution estimate | 
| summary.ctmm | Summarize a continuous-time movement model | 
| summary.telemetry | Import, coerce, summarize, and combine MoveBank data | 
| summary.UD | Summarize a range distribution | 
| summary.UERE | Estimate RMS UERE from calibration data | 
| tail | Import, coerce, summarize, and combine MoveBank data | 
| tail.telemetry | Import, coerce, summarize, and combine MoveBank data | 
| tbind | Import, coerce, summarize, and combine MoveBank data | 
| turtle | Wood turtle GPS and calibration dataset from Working Land and Seascapes. | 
| uere | Estimate RMS UERE from calibration data | 
| uere.fit | Estimate RMS UERE from calibration data | 
| uere<- | Estimate RMS UERE from calibration data | 
| variogram | Calculate an empirical variogram from movement data | 
| 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. | 
| writeRaster-method | Export ctmm data formats | 
| writeVector | Export ctmm data formats | 
| writeVector-method | Export ctmm data formats | 
| zoom-method | Plotting methods for telemetry objects | 
| zoom-method | Plotting methods for variogram objects. | 
| %#% | Convert dimensionful quantities to and from SI units |