stepfun

Numeric vector giving the knots or jump locations of the step function. Must be sorted with unique values.

Numeric vector one longer than x, giving the heights of the function values between the c<code>x</code> values.

Given the vectors <code>(x[1],...,x[n])</code> and <code>(y[0],y[1],...,y[n])</code> (one value more!), <code>stepfun(x, y)</code> returns an interpolating step function, say <code>f_n</code>. This is the cadlag version (<code>right = FALSE</code>) of the <code>stepfun</code> function from package <code>stats</code>. The step function value <code>f_n(t)</code> equals to the constant <code>y[k-1]</code> for <code>t</code> in <code>[x[k-1], x[k])</code> so that
$$f_n(t) = \sum_{k=1}^{n+1} y_{k-1} {1}_{[x_{k-1}, x_{k})}(t),$$
with$x_0=-\infty$ and $x_{n+1}=+\infty$.

Simulation of the random evolution of structured population dynamics, called stochastic Individual Based Models (IBMs) (see e.g. Ferri<c3><a8>re and Tran (2009) <doi:10.1051/proc/2009033>, Bansaye and M<c3><a9>l<c3><a9>ard (2015) <doi:10.1007/978-3-319-21711-6>, Boumezoued (2016)).
The package allows users to simulate the random evolution of a population in which individuals are characterised by their date of birth, a set of attributes, and their potential date of death.

stepfun: Step Function.

Description

Usage

Arguments

Value

Details

See Also