getStationaryLaw.dmm: Get the stationary laws of the DMM

In drimmR: Estimation, Simulation and Reliability of Drifting Markov Models

Get the stationary laws of the DMM

Description

Evaluate the stationary law of the DMM at a given position or at every position

Usage

## S3 method for class 'dmm'
getStationaryLaw(x, pos, all.pos = FALSE, internal = FALSE, ncpu = 2)

Arguments

x	An object of class dmm
pos	A positive integer giving the position along the sequence on which the stationary law of the DMM should be computed
all.pos	'FALSE' (default, evaluation at position index) ; 'TRUE' (evaluation for all position indices)
internal	'FALSE' (default) ; 'TRUE' (for internal use of th initial law of fitdmm and word applications)
ncpu	Default=2. Represents the number of cores used to parallelized computation. If ncpu=-1, then it uses all available cores.

Details

Stationary law at position t is evaluated by solving \mu_t \ \pi_{\frac{t}{n}} = \mu

Value

A vector or matrix of stationary law probabilities

Author(s)

Alexandre Seiller

References

\insertRef

BaVe2018drimmR \insertRefVer08drimmR

See Also

fitdmm, getTransitionMatrix, stationary_distributions, getDistribution

Examples

data(lambda, package = "drimmR")
dmm <- fitdmm(lambda, 1, 1, c('a','c','g','t'), init.estim = "freq", fit.method="sum")
t <- 10
getStationaryLaw(dmm,pos=t)

drimmR documentation built on Oct. 9, 2026, 5:08 p.m.