constraintExp2

Named numeric, the parameter value

Named numeric, the prior values, means of boxes

sigma

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

Named numeric with fixed parameter values (contribute to the prior value but not to gradient and Hessian)

fixed

Compute a differentiable box prior

The framework provides functions to generate ODEs of reaction
networks, parameter transformations, observation functions, residual functions,
etc. The framework follows the paradigm that derivative information should be
used for optimization whenever possible. Therefore, all major functions produce
and can handle expressions for symbolic derivatives.

constraintExp2: Compute a differentiable box prior

Description

Usage

Arguments

Value