constraintExp2: Compute a differentiable box prior

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

Compute a differentiable box prior

Description

Compute a differentiable box prior

Usage

constraintExp2(p, mu, sigma = 1, k = 0.05, fixed = NULL)

Arguments

p	Named numeric, the parameter value
mu	Named numeric, the prior values, means of boxes
sigma	Named numeric, half box width
k	Named numeric, shape of box; if 0 a quadratic prior is obtained, the higher k the more box shape, gradient at border of the box (-sigma, sigma) is equal to sigma*k
fixed	Named numeric with fixed parameter values (contribute to the prior value but not to gradient and Hessian)

Value

list with entries: value (numeric, the weighted residual sum of squares), gradient (numeric, gradient) and hessian (matrix of type numeric). Object of class objlist.

dkaschek/dMod documentation built on April 23, 2024, 5:18 p.m.