growth_richards_init: Create Initialization for the Richards Growth Model

In maomlab/BayesPharma: Tools for Bayesian Analysis of Non-Linear Pharmacology Models

Create Initialization for the Richards Growth Model

Description

Create initial values for Richards growth model parameters that can be passed to the growth_richards_model.

Usage

growth_richards_init(
  K = function() stats::runif(n = 1, min = 0.8, max = 1.2),
  K0 = function() stats::runif(n = 1, min = -0.2, max = 0.2),
  rate = function() stats::runif(n = 1, min = 0.8, max = 1.2),
  lambda = function() stats::runif(n = 1, min = 0.3, max = 0.7),
  nu = function() stats::runif(n = 1, min = 0.8, max = 1.2),
  ...
)

Arguments

K	numeric or numeric returning function
K0	numeric or numeric returning function
rate	numeric or numeric returning function
lambda	numeric or numeric returning function
nu	numeric or numeric returning function values range between [0, Inf], with 1 being standard sigmoid
...	additional parameter initialization. Each named argument should be a function that returns an numeric array of length 1, see rstan_default_init() to use the rstan default init.

Value

input for ⁠[brm][brms::brm](init = ...)⁠

See Also

growth_richards_formula, growth_richards_prior, and growth_richards_model

Examples

## Not run: 
init <- BayesPharma::growth_richards_init(
  A = 100,
  nu = 2)

## End(Not run)

maomlab/BayesPharma documentation built on Aug. 24, 2024, 8:45 a.m.