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