plot.Remigration {phenology}

Plot the remigration intervals.

Description

Plot the remigration intervals.

Usage

## S3 method for class 'Remigration'
plot(x, legend = TRUE, ...)

Arguments

x

Object obtained from Bayesian.remigration()

legend

TRUE or FALSE or c(x, y)

...

Parameters transmitted to plot

Details

plot.Remigration plots the remigration intervals.

Value

An invisible dataframe with values used for plotting.

Author(s)

Marc Girondot

See Also

Other Model of Remigration Interval: Bayesian.remigration(), LnRI_norm(), RI()

Examples

## Not run: 
library(phenology)
# Example

# Each year a fraction of 0.9 is surviving
s <- c(s=0.9)
# Probability of tag retention; 0.8
t <- c(t=0.8)
# Time-conditional return probability - This is the true remigration rate
r <- c(r1=0.1, r2=0.8, r3=0.7, r4=0.7, r5=1)
# Capture probability
p <- c(p1=0.6, p2=0.6, p3=0.6, p4=0.6, p5=0.6)
# Number of observations for 400 tagged females after 1, 2, 3, 4, and 5 years
OBS <- c(400, 10, 120, 40, 20, 10)

kl_s <- length(s)
kl_t <- length(t)
kl_r <- length(r)
kl_p <- length(p)

pMCMC <- data.frame(Density=c("newdbeta", "newdbeta", rep("dunif", kl_r), 
                              rep("newdbeta", kl_p), "dunif"), 
                    Prior1=c(s, t, rep(0, kl_r), rep(0.2, kl_p), 0), 
                    Prior2=c(0.02, 0.02, rep(1, kl_r), rep(0.08, kl_p), 10), 
                    SDProp=c(0.05, 0.05, rep(0.05, kl_r), rep(0.05, kl_p), 0.05), 
                 Min=c(0, 0, rep(0, kl_r), rep(0, kl_p), 0),  
                 Max=c(1, 1, rep(1, kl_r), rep(1, kl_p), 10),  
                 Init=c(s, t, r, p, 1), stringsAsFactors = FALSE, 
                 row.names=c("s", 
                                "t", 
                                names(r), 
                                names(p), "sd")
)
rMCMC <- Bayesian.remigration(parameters = pMCMC, 
n.iter = 1000000, 
n.adapt = 300000,
trace=10000, 
data=OBS)

plot(rMCMC)


## End(Not run)