flexss.bootstrappedMLEs: Maximum Likelihood estimation of the SS model parameters...

In javirudolph/StabilityToolkit: Statistical inference for bacterial stability assays

Description

Maximum Likelihood estimation of the SS model parameters along with Parametric Bootstrap confidence intervals.

Usage

flexss.bootstrappedMLEs(
  problem.counts,
  nrepsi,
  Dmat,
  gens,
  B = 1000,
  neg.cost = TRUE
)

Arguments

problem.counts	is a matrix. The first column are the days, the next columns are the counts over time of the plasmid-free colonies. One column per replicated platings.
nrepis	The number of replicated platings. Must be equal to ncol(day.counts)-1
gen	Number of generations per day
Dmat:	A matrix whose number of rows is the number of days that the assay was ran. The number of columns corresponds to the number of replicated platings. The entries correspond to the total number of colonies picked for testing in a particular day and replicate.

Value

A list with the BIC, the negative log-likelihood and a matrix with the model MLEs along with 95% Parametric boostrap confidence intervals

Examples

flexss.bootstrappedMLEs(problem.counts, nrepsi, Dmat, gens, B=1000, neg.cost=TRUE)

javirudolph/StabilityToolkit documentation built on Jan. 3, 2021, 11:29 p.m.