make.logtrans: Log Transforms
In CollocInfer: Collocation Inference for Dynamic Systems

make.logtrans

R Documentation

Log Transforms

Description

Functions to modify liklihood, transform, lik and proc objects so that the operate with the state defined on a log scale.

Usage

make.logtrans()

make.exptrans()

make.logstate.lik()

make.exp.Cproc()

make.exp.Dproc()

Details

All functions require more to specify the original object (ODE right hand side functions, definitions of lik and proc objects).

Value

A list of functions that calculate log transforms and derivatives in various contexts.

`make.logtrans`	modifies the right hand side of a differential equation and its derivatives for a loged state vector.
`make.exptrans`	modfies a map from states to observations to a map from logged states to observations along with its derivatives.
`make.logstate.lik`	modifies a `lik` object for state vectors given on the log scale.
`make.exp.Cproc`	`Cproc` with the state given on the log scale.
`make.exp.Dproc`	`Dproc` with the state given on the log scale.

Examples


# Model the log of an SEIR process

proc = make.SSEproc()
proc$more = make.logtrans()
proc$more$more = make.SEIR()

# Observe a linear combination  of

lik = make.logstate.lik()
lik$more = make.SSElik()
lik$more$more = make.genlin()

# SEIR Model with multivariate transition densities

proc = make.exp.Cproc()
proc$more = make.multinorm()
proc$more$more = c(make.SEIR(),make.cvar())

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