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 |