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detect (version 0.4-6)

Analyzing Wildlife Data with Detection Error

Description

Models for analyzing site occupancy and count data models with detection error, including single-visit based models, conditional distance sampling and time-removal models. Package development was supported by the Alberta Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.

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install.packages('detect')

Monthly Downloads

407

Version

0.4-6

License

GPL-2

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Maintainer

Peter Solymos

Last Published

March 8th, 2023

Functions in detect (0.4-6)

hbootindex

Hierarchical bootstrap indices
detect-package

Analyzing Wildlife Data with Detection Error
svocc

ZI Binomial model with single visit
oven

Ovenbird abundances
svabu

Single visit N-mixture abundance models
AUC

AUC ROC plot for fitted models
cmulti

Conditional Multinomial Maximum Likelihood Estimation
bootstrap

Do bootstrap and extract bootstrap results
databu

Simulated example for abundance model
load_BAM_QPAD

Load BAM QPAD parameter estimates and support functions
cmulti.fit0

Internal functions
convertEDT

Conversion between truncated and unlimited effective detection distance (EDR)
datocc

Simulated example for occupancy model