boot_sd: Required for remsD bootstrapping

In arcaravaggi/remBoot: Random Encounter Modelling for Density Estimation and Variance

Description

Resamples camera trap data to calculate variance for Random Encounter Model density estimates. Note that tm and v must be the same across all sites. If this is not the case, split your data before bootstrapping and run the function on each sub-group. Called by remsD. Calls bsD.

Usage

boot_sd(x)

Arguments

x	= bsD resampled data

Examples

## Define the number of bootstrapping iterations and apply boot_sd to the data:
tm <- 3600
v <- 0.85
nboots <- 1000

grpDat <- split_dat(hDat)
remsD <- lapply(grpDat, boot_sd)
remsSD <- lapply(remsD, sd)
remsSD

arcaravaggi/remBoot documentation built on May 10, 2019, 12:49 p.m.