growth: Estimates growth probabilities.
In IPMpack: Builds and analyses Integral Projection Models (IPMs).

Description Usage Arguments Details Value Author(s) References See Also Examples

Generic function to predict the pdf (probability density function) of continuous (e.g. size) stage at t+1 given stage at t and a growth object.

1	growth(size, sizeNext, cov, growthObj)

`size`	vector of current sizes.
`sizeNext`	vector of sizes in the next time-step.
`cov`	a data-frame with one row containing all covariates for this time-step.
`growthObj`	a growth object.

Models defining continuous (size) stage at t+1, or growth increment, or log growth increment are defined; with various underlying statistical models allowing decreasing variance in size, etc.

a vector of length sizeNext giving the pdf (probability density function) of each value of sizeNext.

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.

surv, growSurv

dff <- generateData()
gr1 <- makeGrowthObj(dff)
sizeRange <- c(1:20)
sizeInit <- 1
growth(sizeInit, sizeRange, data.frame(cov=1), gr1)
plot(growth(sizeInit, sizeRange, data.frame(cov=1), gr1), type="l", 
	col = "dark gray", xlab = "Continuous (e.g. size) stage at time t+1", 
	ylab = paste("Probability of growth to a specific size in t+1 from size ", 
			sizeInit, " at time t"))