ACBR                    Camera trap dataset from Agbogon Community
                        Biological Reserve (ACBR), Benin
ct_QAIC                 Compute QAIC for a set of detection function
                        models
ct_alpha_diversity      Alpha diversity index
ct_availability         Temporal availability adjustment
ct_boot_ci              Bootstrap confidence intervals
ct_bootstrap            Generate bootstrap estimates of overlap
ct_camera_day           Calculate daily camera trap captures
ct_camtrap_animal_distance
                        Estimate distance from camera trap to animal
ct_check_location       Interactive camera trap location adjustment
ct_check_name           Check species name and retrieve Taxonomic
                        Serial Number (TSN) from ITIS
ct_chi2_select          Select best detection function model by
                        Chi-squared Goodness-of-fit
ct_ci                   Calculate confidence interval
ct_clone_dir            Clone directory structure
ct_convert_unit         Convert values between different units
ct_correct_datetime     Correct camera trap datetime records
ct_create_hs            Create or add hierarchical subject (hs) values
                        in image metadata
ct_describe_df          Descriptive statistic on dataset
ct_dissimilarity        Calculate dissimilarity between communities
ct_dp_example           Read the Camtrap DP example dataset
ct_dp_filter            Filter camera trap data package
ct_dp_read              Read camera trap data package
ct_dp_table             Get core tables
ct_dp_version           Get Camtrap DP version Extracts the version
                        number used by a Camera Trap Data Package
                        object. This version number indicates what
                        version of the Camtrap DP standard was used.
ct_exiftool_call        Call ExifTool
ct_find_break           Detect time gaps in a datetime series
ct_fit_activity         Fit activity model to time-of-day data
ct_fit_detmodel         Fit animal detection
ct_fit_distribution     Fit a count distribution by maximum likelihood
ct_fit_ds               Fit detection functions and estimate
                        density/abundance
ct_fit_ise              Estimate abundance from Instantaneous Sampling
                        (ISE) Data
ct_fit_rem              Fit Random Encounter Model (REM)
ct_fit_rest             Fit the Random Encounter and Staying Time (REST
                        / RAD-REST) model
ct_fit_speedmodel       Fit animal speed model
ct_fit_ste              Estimate abundance from Space-To-Event (STE)
                        Data
ct_fit_tte              Estimate abundance from Time-To-Event (TTE)
                        Data
ct_get_effort           Calculate camera trap deployment effort
ct_get_hs               Retrieve hierarchical subject (hs) values from
                        image metadata
ct_independence         Evaluate independent detections
ct_inext                Interpolation and extrapolation of Hill number
ct_install_exiftool     Install ExifTool, downloading (by default) the
                        current version
ct_overlap_estimates    Estimates of coefficient of overlapping
ct_overlap_matrix       Estimate overlap coefficients for multiple
                        species
ct_plot_calendar        Plot a calendar heatmap of daily camera trap
                        activity
ct_plot_camtrap_activity
                        Plot camera trap activity over time
ct_plot_density         Plot species' activity patterns
ct_plot_inext           Plot diversity interploation and extrapolation
ct_plot_overlap         Plot overlap between two species' activity
                        patterns
ct_plot_overlap_coef    Plot overlap coefficient matrix
ct_plot_rose_diagram    Plot a 24-hour rose diagram of daily activity
ct_read                 Read a delimited file into a tibble
ct_read_metadata        Read Image Metadata
ct_remove_hs            Remove hierarchical subject (hs) values from
                        image metadata
ct_rest_activity        Prepare activity (time-of-day) data for REST
ct_rest_effort          Add camera-trapping effort (days) to formatted
                        station data
ct_rest_passes          Aggregate the number of animal passes per
                        station for REST / RAD-REST
ct_rest_select_stay     Choose a staying-time distribution for REST by
                        WAIC
ct_rest_stay            Prepare staying-time data for REST
ct_select_model         Model selection for Distance Sampling detection
                        functions
ct_solartime            Transform time to solar time anchored to
                        sunrise and sunset
ct_spatial_coverage     Estimate species spatial coverage from camera
                        trap detections
ct_stack_df             Stack a list of data frame
ct_standardize          Standardize community data matrix
ct_summarise_camtrap_activity
                        Create activity summary statistics
ct_survey_design        Create a survey design for camera trap
                        deployment
ct_temporal_shift       Calculate the temporal shift of one species'
                        activity over two periods
ct_to_community         Convert data to a community matrix
ct_to_occupancy         Convert camera trap data to occupancy format
ct_to_radian            Convert time to radians
ct_to_time              Convert radian to time
ct_traprate_data        Prepare data for trap rate estimation
ct_traprate_estimate    Estimate trap rate
ctdp                    Camera trap data package example
duikers                 Maxwell's duiker camera-trap distance &
                        video-start data
pendjari                Pendjari national park and surrounding areas
penessoulou             Camera-trap detections from the Penessoulou
                        Classified Forest
rest_detection          Simulated camera-trap detections for the REST /
                        RAD-REST workflow
rest_station            Camera-station table for the REST / RAD-REST
                        example
