FM.run: Main function for generating observations from...

In jasonxu90/bdsem: Analysis of discretely observed Birth-Death-Shift processes

Description

This function generates observation intervals from the simple birth-shift-death process without covariates, and generates a dataset for each observation time length in tList. Next, the frequent monitoring log-likelihood is maximized using FM.optim for each dataset.

Usage

  FM.run(N, tList, lam, v, mu, initList, initGuess)

Arguments

initGuess	Vector of numbers, initial guess for optim
N	An integer specifying the number of observation intervals/realization from the simple BSD process.
tList	A list of observation interval lengths. The number of datasets returned is equal to the length of tList
lam	Per-particle birth rate
v	Per-particle shift rate
mu	Per-particle death rate
initList	A vector containing possible initial population sizes

Details

See accompanying vignette for example usage.

Value

A list of optim objects

jasonxu90/bdsem documentation built on May 18, 2019, 5:54 p.m.