Compare SECR Models
Likelihood Ratio Test
Deermouse Live-trapping Datasets
Print Detections
Read Habitat Mask From File
Convert Data To Or From BUGS Format
Subset popn Object
Subset traps Object
Home Range Statistics
Coefficients of secr Object
Covariates Attribute
Combine or Split Sessions of capthist Object
Detector Type
Construct capthist Object
Expected Number of Individuals
Detector Clustering
Probability Density of Home Range Centre
Area of Polygon(s)
Population Object
Models for Detection Parameters
Combine Occasions Or Convert Detector Types
Import or export data
Plot Detection Functions
Construct Detection Model Design Matrices and Lookups
Rectangular Mask
Detector Usage
Random Landscape
Closed population estimates
Net Detection Probability
Density Surfaces
House mouse live trapping data
Print secr Object
Derived Parameters of Fitted SECR Model
Spatially Explicit Capture--Recapture by Inverse Prediction
Multi-core Processing
Exchange data with SPACECAP package
Mask Buffer Diagnostic Plot (internal)
Build Detector Array on Triangular or Hexagonal Grid
Build Habitat Mask
Detector Attributes
Drop Unwanted List Components
Variance - Covariance Matrix of SECR Parameters
Mask Diagnostics
Plot Habitat Mask or Density Surface
Complex Detector Layouts
Confidence ellipse
Logit Transformation
Construct Systematic Detector Design
Multinomial Coefficient of SECR Likelihood
Points Inside Polygon
Ovenbird Acoustic Dataset
Dissect Spatial Capture History Object
Plot likelihood surface
Population Size
Score Test for SECR Models
Summarise Detector Array
Frequently Asked Questions, And Others
Empirical Variance of H-T Density Estimate
Reformat Signal Data
Profile Likelihood Confidence Intervals
Print Detectors
Brushtail Possum Trapping Dataset
Build Detector Array
Write Data to Text File
Plot Detection Histories
Create Default Design Data
SECR Models Fitted to Demonstration Data
First or Last Part of an Object
Combine popn Objects
Mask Buffer Width
SECR Model Predictions
Stoat DNA Data
Sort Rows of capthist Object
Combine Columns
Spatially Explicit Capture--Recapture Models
Combine traps Objects
Simulate 2-D Population
Detection Functions
Spatially Explicit Capture--Recapture
Simulate Detection Histories
Simulate From Fitted secr Model
Detector or Mask Spacing
Combine Telemetry and Detection Data
Add Covariates to Mask or Traps
Session Vector
Time-varying Detector Covariates
Initial Parameter Values for SECR
Summarise Habitat Mask
Check SECR Data
Convert Data to RMark Input Format
Spatial Capture History Object
Detector Array
Circular Probability
Closure tests
Upload to GPS
Subset or Split capthist Object
Mask Buffer Diagnostic Plot
Mask Object
Ovenbird Mist-netting Dataset
Plot traps Object
Multi-session Objects
Plot popn Object
Read Detector Data From File
Predict Density Surface
Density Models
Flat-tailed Horned Lizard Dataset
Combine capthist Objects
Skink Pitfall Data
Spatially Explicit Capture--Recapture Models
Summarise Detections
Construct Density Design Data
Contour Detection Probability
Deviance of fitted secr model and residual degrees of freedom
Distance To Nearest Detector
Model averaging for SECR Models
Subset Mask Object
Transform Point Array
Problems in Fitting SECR Models