nll_BLOQ: Non-linear log likelihood for the BLOQ part of the data

In dkaschek/dMod: Dynamic Modeling and Parameter Estimation in ODE Models

Non-linear log likelihood for the BLOQ part of the data

Description

Non-linear log likelihood for the BLOQ part of the data

Usage

nll_BLOQ(
  nout.bloq,
  derivs.bloq,
  derivs.err.bloq,
  opt.BLOQ = c("M3", "M4NM", "M4BEAL", "M1"),
  opt.hessian = c(BLOQ_part1 = TRUE, BLOQ_part2 = TRUE, BLOQ_part3 = TRUE)
)

Arguments

nout.bloq	The bloq output of res()
derivs.bloq, derivs.err.bloq	attributes of output of res()
opt.BLOQ	Character denoting the method to deal with BLOQ data
opt.hessian	Named logical vector to include or exclude various summands of the hessian matrix

dkaschek/dMod documentation built on April 28, 2024, 4:13 p.m.