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RMC (version 0.2)

Functions for fitting Markov models

Description

Functions for fitting, diagnosing and predicting from a class of Markov models.

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Version

Install

install.packages('RMC')

Monthly Downloads

8

Version

0.2

License

GPL (>= 2)

Maintainer

Scott Foster

Last Published

November 8th, 2010

Functions in RMC (0.2)

hrplot

Plot horizontal residual plots for a RMC model.
RMC.mod

Estimation of categorical discrete-time non-stationary Markov chain models with simple parameterisation.
RMC

Package Description
dataEG3patch

Simulated data, illustrating an outlying patch residual, used in Foster and Bravington (2009) Section 5.1.2.
dataEG3movement

Simulated data, illustrating an outlying movement residual, used in Foster and Bravington (2009) Section 5.1.2.
sim.chain

Simulate Markov chain data from a Markov model.
MVfill

Fill in missing values via a single imputation from the fitted model.
diagnos

Calculation of Markov residuals for discrete-time non-stationary Markov models with simple parameterisation.
dataEG2

Simulated non-stationary data used in Foster and Bravington (2009) Section 5.1.1.
dataEG4

Simulated non-stationary data used in Foster and Bravington (2009) Section 5.1.3.
examplesForDiagnostics

The examples section of this help file provides code to produce the plots in Section 5.1 of Foster and Bravington (2009).
dataEG1

Simulated stationary data used in Foster and Bravington (2009) Section 5.1.1.
simRandWalk

Simulate a continuous auto-regressive process.
RMC.pred

Prediction of local area stationary distribution for an arbitrary number of covariate combinations.