get_detection: Obtains estimates for detection parameters through logistic...

In highamm/FPBK-with-Detection: Finite Population Block Kriging with Detection

Description

Estimates logistic regression coefficients from detection data.

Usage

get_detection(formula, data, varmethod = "Bootstrap")

Arguments

formula	is an R linear model formula specifying binary detection as the response variable as well as covariates associated with detection.
data	is the data set with the response column of detection and the covariates to be used in the logistic regression, and the spatial coordinates for all of the sites.
varmethod	is the method to obtain the variance matrix for the detection probabilities, either "Delta" or "Bootstrap".

Value

a list with

• Fitted detection coefficients

• The asymptotic variance-covariance matrix of the fitted regression coefficients

• the formula used to fit the logistic regression model

• A list of bootstrapped regression coefficients used to obtain a covariance matrix for detection estimates

• The method used to get the variance covariance matrix for detection probabilities.

Examples

df <- data.frame(y = rbinom(30, 1, 0.7), x = rnorm(30, 4, 0.4))
get_detection(formula = y ~ x, data = df)

highamm/FPBK-with-Detection documentation built on Jan. 2, 2022, 6:35 a.m.