Description Usage Arguments Details Value Note Author(s) References See Also Examples
Predicts the probability density function of continuous (e.g. size) stage at time t+1 given stage values at time t and survival probability as a function of stage values at time t, given a growth and survival object.
1 |
size |
vector of current size(s). |
sizeNext |
vector of future size(s). |
cov |
covariate level (numeric of length 1). |
growthObj |
a growth object. |
survObj |
a survival object. |
makeIPMPmatrix
and variants there-of apply outer
to this function to efficiently obtain the IPM P matrix.
numeric defining the pdf (probability density function).
Code developed following Mark Rees, Dylan Childs & Karen Rose.
C. Jessica E. Metcalf, Sean M. McMahon, Roberto Salguero-Gomez, Eelke Jongejans & Cory Merow.
Easterling, Ellner & Dixon. 2000. Size-specific sensitivity: a new structured population model. Ecology 81, p694-708.
1 2 3 4 5 6 7 8 9 10 11 | dff <- generateData()
gr1 <- makeGrowthObj(dff)
sv1 <- makeSurvObj(dff)
sizeRange <- c(1:20)
sizeInit <- 1
growSurv(sizeInit, sizeRange, data.frame(covariate=1), gr1, sv1)
plot(growSurv(sizeInit, sizeRange, data.frame(covariate=1), gr1, sv1),
type="l", col = "dark gray",
xlab = "Continuous (e.g. size) stage at time t+1",
ylab = paste("Probability of survival to a specific size in t+1 from size ",
sizeInit, " at time t"))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.