make.variance: Variance Functions

In CollocInfer: Collocation Inference for Dynamic Systems

Variance Functions

Description

Returns a list of functions that calculate a (possibly state and parameter dependent) variance.

Usage

make.cvar()

make.var.SEIR()

Details

make.cvar requires the specification of further elements in the list. In particular the element more should be a list containing

Value

A list of functions that calculate a variance function and its derivatives, in a form compatible with the collocation inference functions.

make.cvar	returns a variance that is constant but may depend on parameters
make.var.SEIR	returns a state-dependent transition covariance matrix calculated for the SEIR equations.

See Also

make.multinorm

Examples

# Multivariate normal observation of the state vector.

lik = make.multinorm()
lik$more = c(make.id(),make.cvar())

CollocInfer documentation built on April 4, 2025, 2:21 a.m.