logLik.sensitivity: Calculate the derivative of the log-likelihood function

In fitode: Tools for Ordinary Differential Equations Model Fitting

Calculate the derivative of the log-likelihood function

Description

Calculate the derivative of the log-likelihood function with respect to model parameters using sensitivity equations and chain rule

Usage

logLik.sensitivity(
  parms,
  model,
  data,
  solver.opts = list(method = "rk4"),
  solver = ode,
  return.NLL = TRUE,
  return.traj = FALSE
)

Arguments

parms	named vector of parameter values
model	odemodel object
data	data
solver.opts	options for the ode solver (see ode)
solver	ode solver
return.NLL	(logical) return negative log-likelihood
return.traj	(logical) return estimated trajectory

Value

a vector of nll and derivative of nll with respect to model parameters (or a list containing (1) the estimated traejctory and (2) a vector of nll and its derivatives)

fitode documentation built on Oct. 29, 2022, 9:05 a.m.