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