aif-methods: Methods of the "aif" class

In nxdao2000/is2: Iterated smoothing for partially observed Markov processes

Description

Methods of the aif class.

Usage

## S4 method for signature 'aif'
logLik(object, ...)
## S4 method for signature 'aif'
conv.rec(object, pars, transform = FALSE, ...)
## S4 method for signature 'aifList'
conv.rec(object, ...)
## S4 method for signature 'aif'
plot(x, y, ...)
## S4 method for signature 'aifList'
plot(x, y, ...)
## S4 method for signature 'aif'
c(x, ..., recursive = FALSE)
## S4 method for signature 'aifList'
c(x, ..., recursive = FALSE)
compare.aif(z)

Arguments

object	The aif object.
pars	Names of parameters.
x	The aif object.
y, recursive	Ignored.
z	A aif object or list of aif objects.
transform	optional logical; should the parameter transformations be applied? See coef for details.
...	Further arguments (either ignored or passed to underlying functions).

Methods

conv.rec

conv.rec(object, pars = NULL) returns the columns of the convergence-record matrix corresponding to the names in pars. By default, all rows are returned.

logLik

Returns the value in the loglik slot.

c

Concatenates aif objects into an aifList.

plot

Plots a series of diagnostic plots.

compare.aif

Deprecated: use plot instead.

Author(s)

Dao Nguyen dxnguyen at olemiss dot edu, Xin Dang xdang at olemiss dot edu, Duc Anh Doan ddoan at olemiss dot edu

See Also

aif, pfilter2

nxdao2000/is2 documentation built on May 24, 2019, 11:50 a.m.