Metrop: A subclass of Baysian calibrator that uses the mcmc::metrop...

In junlingm/REpiSim: Mathematical Epidemiological Model Simulations in R

A subclass of Baysian calibrator that uses the mcmc::metrop function

Description

A subclass of Baysian calibrator that uses the mcmc::metrop function

A subclass of Baysian calibrator that uses the mcmc::metrop function

Super classes

REpiSim::Calibrator -> REpiSim::Baysian -> Metrop

Public fields

the

names of all parameters

The

samples of the posterior distribution

Active bindings

the

names of all parameters

The

samples of the posterior distribution

Methods

Public methods

• Metrop$new()

• Metrop$continue()

• Metrop$clone()

Inherited methods

• REpiSim::Baysian$calibrate()

---

Method new()

initializer

Usage

Metrop$new(
  model,
  time,
  data,
  likelihood,
  ...,
  cumulative = FALSE,
  mapping = character()
)

Arguments

model

the model to calibrate

time

either a numeric vector containing the times (including the initial time) of the ODE solution that corresponds to the data, or a character value giving the name of the column in data that corresponds to time.

data

a data.frame object containign the data for the calibration

likelihood

a Distribution object specify the type of likelihood

...

each argument is a formula defining the maps between the data columns and the model variables. Please see the details section.

cumulative

whether the data is cumulative

Details

A mapping is a named argument, where name is the data colummn name, and value corresponds to the model variables (or an expression to calculate from the model variables.)

---

Method continue()

Usage

Metrop$continue(...)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Metrop$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

junlingm/REpiSim documentation built on Nov. 28, 2023, 2:35 a.m.