prolif_d: Expected Propagating Subpopulation

Description Usage Arguments Value Author(s) See Also Examples

Description

Computes the expected count of a subpopulation that is propagating inside population undergoing quiescent growth.

Usage

1
prolif_d(t, x0, q0=0, d, q, ad, aq, tol=1e-6)

Arguments

t

A vector time points to return expected population size.

x0

The size of the initial propagating (or dividing) population at t=0.

q0

The size of the quiescent or non-propagating population at t=0.

d

The rate of growth of the propagating population.

q

The rate at which propagating population members join the quiescent population.

ad

The rate of death from the dividing or propagating population.

aq

The rate of death from the quiescent population.

tol

The tolerance between parameters before switching to limit models. The solution to the quiescent growth model has some boundary cases that would result in a division by zero. These happen when the rate of growth (d) is equal to rate of quiescence (q). When the absolute difference between these parameters is less than the tolerance, the model switches to the limit cases. The default value is good for most common cases. Preferably a very small number, that must be greater than zero.

Value

A numerical vector of expected dividing subpopulation totals.

Author(s)

Shawn Garbett

See Also

prolif_q prolif_tot prolif_fq prolif_fd q.rates

Examples

1
prolif_d(1:100, 0.5, 0.5, 0.04, 0.03, 0.001, 0.001)


Search within the fracprolif package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.