predict.titre.fast.bounded: Ferret model function with lower bounded titres

In jameshay218/mcmcJH: Generic random walk MCMC algorithm for parameter inference

Description

Uses the Ferret boost/wane model in the form y=mx+c to produce a matrix of model results from a given vector of parameters. This particular version allows the titres to be truncated from below, with the first argument of the parameter vector providing the lower bound

Usage

## S3 method for class 'titre.fast.bounded'
predict(params, times)

Arguments

params	the vector of parameters used to solve the model. The first argument should be the lower titre bound
times	a vector of times over which to solve the model. If in doubt, use a sequence from 0 to max time at steps of 1

Value

a matrix containing the titre values predicted from the given parameters at each time point specified by times

See Also

predict.titre.fast.bounded, predict.titre.fast, predict_titre_universal_m_2, predict_titre_universal_m

jameshay218/mcmcJH documentation built on May 18, 2019, 11:20 a.m.