Compare SECR Models
Coefficient of Variation
Convert Data To Or From BUGS Format
Model Compatibility
Construct Density Design Data
Import or export data
Likelihood Ratio Test
Orongorongo Valley Brushtail Possums
Plot Likelihood Surface
Telemetry Fixes in Polygons
Combine Telemetry and Detection Data
RSE from Fitted Model
Add Covariates to Mask or Traps
Mark-resight Data
Frequently Asked Questions, And Others
Density Surfaces
Replicate Rows
Circular Probability
Profile Likelihood Confidence Intervals
Closed population estimates
Closure tests
Coerce capthist to Data Frame
Detection Functions
Mask Buffer Diagnostic Plot (internal)
Detector Type
Expected Number of Individuals
Multi-core Processing
Distance To Nearest Detector
Detector Clustering
Multinomial Coefficient of SECR Likelihood
Confidence Ellipses
Contour Detection Probability
Coefficients of secr Object
Convert Data to RMark Input Format
Coerce traps object to mask
Smoothed Resource Surface
Initial Parameter Values for SECR
Deviance of fitted secr model and residual degrees of freedom
Covariates Attribute
House mouse live trapping data
Spatial Capture History Object
Derived Parameters of Fitted SECR Model
First or Last Part of an Object
Construct Lacework Detector Design
Build Habitat Mask
Dissect Spatial Capture History Object
Rasterize Area Search or Transect Data
Detail Specification for secr.fit
Simulated Movements
Edit Mask Points
Combine or Split Sessions of capthist Object
Mask Buffer Diagnostic Plot
Deermouse Live-trapping Datasets
Flat-tailed Horned Lizard Dataset
Empirical Variance of H-T Density Estimate
Probability Density of Home Range Centre
Activity Centres of Detected and
Undetected Animals
Construct capthist Object
Hybrid Mixture Model
Home Range Statistics
Plot Habitat Mask, Density or Resource Surface
Build Detector Array on Triangular or Hexagonal Grid
Mask Object
Mask Diagnostics
Net Detection Probability
Spatially Explicit Capture--Recapture by Inverse Prediction
Work with Open Population data
Ovenbird Acoustic Dataset
Construct Systematic Detector Design
Plot Population Object
Fit Multiple SECR Models
Population Object
Random Landscape
Fix Inconsistent Covariates
Plot Detection Histories
Print Detectors
Build Detector Array
Key to Petal Plot
Brushtail Possum Trapping Dataset
Sort Rows of capthist or mask Object
Sighting Attributes
Detector or Mask Spacing
Points Inside Polygon
Plot Detection Functions
Predict Density Surface
Read Habitat Mask From File
SECR Model Predictions
Plot traps Object
Import Telemetry Fixes
Area of Polygon(s)
Combine traps Objects
Combine popn Objects
Subset traps Object
Spatially Explicit Capture--Recapture Models
Print Detections
Create a RasterLayer Object from Mask or Dsurface
Mask Buffer Width
Print or Summarise secr Object
Ovenbird Mist-netting Dataset
Construct Detection Model Design Matrices and Lookups
Read Detector Data From File
Averaging of SECR Models Using Akaike's Information Criterion
Logit Transformation
Create Default Design Data
Smooth Terms in SECR Models
Spatially Explicit Capture--Recapture
Multi-session Objects
Population Size
Combine capthist Objects
Signal Fields
Score Test for SECR Models
Simulate 2-D Population
Simulate Detection Histories
Slice Transect Into Shorter Sections
Rectangular Mask
Summarise Detections
Check SECR Data
Problems in Fitting SECR Models
Specifying a Dynamic Population
Write Data to Text File
Outline Around Mask Cells
Random Number Seed
Goodness-of-fit Test Results
Goodness-of-Fit Test
Reformat Signal Data
SECR Models Fitted to Demonstration Data
Combine Occasions Or Detectors
Mixture Model Check
Speed Tips
Combine Columns
Number of Threads
Session Vector
Colour Strip Legend
Skink Pitfall Data
Simulate From Fitted secr Model
Transform Point Array
Time-varying Covariates
Subset or Split capthist Object
Stoat DNA Data
Update Old capthist Format
Detector Usage
Summarise Simulated Population
Detector Array
Summarise Habitat Mask
Complex Detector Layouts
Summarise Detector Array
Drop Unwanted List Components
Detector Attributes
Subset, Split or Combine Mask Objects
Subset popn Object
Upload to GPS
Non-Euclidean Distances
Utility Functions
Plot usage, detections or sightings.
Variance - Covariance Matrix of SECR Parameters