simulateEstimates: Simulates capture re-capture estimates

In shinyrecap: Shiny User Interface for Multiple Source Capture Recapture Models

Description

Simulates capture re-capture estimates

Usage

simulateEstimates(nsim, N, p, htype = "None", heteroPerc = 1,
  monitorFunc = function(i) { })

Arguments

nsim	number of simulations
N	Population size
p	A vector of capture event probabilities
htype	The type of capture heterogeneity. Either "None" or "Normal"
heteroPerc	The increase in odds of capture for the perc 90th percentile most likely to be captured individuals, compared to the average individual.
monitorFunc	A function called after every iteration. Useful for monitoring simulation progress.

Examples

library(ggplot2)
# Simulate estimates from the Mt model with no population heterogeneity
ests <- simulateEstimates(15,500,c(.1,.1,.1))

# Simulate estimates from the Mth (Normal) model with no population heterogeneity.
ests2 <- simulateEstimates(20,500,c(.1,.1,.1), htype="Normal")

df <- data.frame(est = ests[[1]],type="Mt")
df <- rbind(df, data.frame(est = ests2[[1]],type="Mth (Normal)"))
qplot(x=est, color=type, data=df, geom="density") +
  geom_vline(xintercept=500,color="purple")

shinyrecap documentation built on May 1, 2019, 10:10 p.m.