secr

Compare SECR Models

Model Compatibility

Coefficient of Variation

Construct Density Design Data

Convert Data To Or From BUGS Format

Import or export data

Density Surfaces

Frequently Asked Questions, And Others

Plot Likelihood Surface

Likelihood Ratio Test

Orongorongo Valley Brushtail Possums

Telemetry Fixes in Polygons

Multi-core Processing

Convert Data to RMark Input Format

RSE from Fitted Model

Smoothed Resource Surface

Add Covariates to Mask or Traps

Mark-resight Data

Combine Telemetry and Detection Data

Coerce capthist to Data Frame

Coerce traps object to mask

Initial Parameter Values for SECR

Spatial Capture History Object

Dissect Spatial Capture History Object

Circular Probability

Replicate Rows

Closed population estimates

Closure tests

Detector Clustering

Coefficients of secr Object

Profile Likelihood Confidence Intervals

Contour Detection Probability

House mouse live trapping data

Covariates Attribute

Deermouse Live-trapping Datasets

Edit Mask Points

Derived Parameters of Fitted SECR Model

Detail Specification for secr.fit

Detection Functions

Detector Type

Deviance of fitted secr model and residual degrees of freedom

Rasterize Area Search or Transect Data

Distance To Nearest Detector

Confidence Ellipses

Empirical Variance of H-T Density Estimate

Mask Buffer Diagnostic Plot

Mask Buffer Diagnostic Plot (internal)

Expected Number of Individuals

Activity Centres of Detected and Undetected Animals

Probability Density of Home Range Centre

Hybrid Mixture Model

First or Last Part of an Object

Home Range Statistics

Flat-tailed Horned Lizard Dataset

Spatially Explicit Capture–Recapture by Inverse Prediction

Combine or Split Sessions of capthist Object

Logit Transformation

Multinomial Coefficient of SECR Likelihood

Construct capthist Object

Construct Lacework Detector Design

Build Habitat Mask

Construct Systematic Detector Design

Build Detector Array

Build Detector Array on Triangular or Hexagonal Grid

Work with Open Population data

Mask Object

Mask Diagnostics

Averaging of SECR Models Using Akaike's Information Criterion

Multi-session Objects

Key to Petal Plot

Ovenbird Mist-netting Dataset

Ovenbird Acoustic Dataset

Fit Multiple SECR Models

Net Detection Probability

Plot Detection Histories

Plot Habitat Mask, Density or Resource Surface

Plot Population Object

Plot Detection Functions

Plot traps Object

Outline Around Mask Cells

Mixture Model Check

Points Inside Polygon

Area of Polygon(s)

Population Object

Brushtail Possum Trapping Dataset

SECR Model Predictions

Predict Density Surface

Print Detections

Print or Summarise secr Object

Print Detectors

Random Landscape

Create a RasterLayer Object from Mask or Dsurface

Combine capthist Objects

Combine popn Objects

Combine traps Objects

Read Habitat Mask From File

Import Telemetry Fixes

Read Detector Data From File

Rectangular Mask

Combine Columns

Combine Occasions Or Detectors

Population Size

Score Test for SECR Models

Spatially Explicit Capture–Recapture Models

Construct Detection Model Design Matrices and Lookups

Spatially Explicit Capture–Recapture

Create Default Design Data

Goodness-of-Fit Test

Random Number Seed

SECR Models Fitted to Demonstration Data

Goodness-of-fit Test Results

Session Vector

Number of Threads

Fix Inconsistent Covariates

Sighting Attributes

Signal Fields

Reformat Signal Data

Simulate Detection Histories

Simulate 2-D Population

Simulate From Fitted secr Model

Skink Pitfall Data

Smooth Terms in SECR Models

Slice Transect Into Shorter Sections

Sort Rows of capthist or mask Object

Detector or Mask Spacing

Speed Tips

Stoat DNA Data

Colour Strip Legend

Subset or Split capthist Object

Subset, Split or Combine Mask Objects

Subset popn Object

Subset traps Object

Mask Buffer Width

Summarise Detections

Summarise Habitat Mask

Summarise Simulated Population

Summarise Detector Array

Time-varying Covariates

Transform Point Array

Complex Detector Layouts

Detector Array

Detector Attributes

Drop Unwanted List Components

Problems in Fitting SECR Models

Specifying a Dynamic Population

Update Old capthist Format

Detector Usage

Plot usage, detections or sightings.

Non-Euclidean Distances

Utility Functions

Variance - Covariance Matrix of SECR Parameters

Check SECR Data

Write Data to Text File

Upload to GPS