dataEG2: Simulated non-stationary data used in Foster and Bravington...
In RMC: Functions for fitting Markov models
Description
These data are non-stationary and have 5 chains, each with 1000 observations. The first column of this data matrix is an indicator to identify the chains. The second column is the observations. The third and fourth columns are the design matrix for the process. The data were originally used to highlight the diagnostic methods, see diagnos.envel, diagnos, and hrplot for functions to perform those original tasks.
References
Foster, S.D. and Bravington, M.V. (2009) Graphical Diagnostics for Markov Models for Categorical Data. Journal of Computational and Graphical Statistics, to appear.
RMC documentation built on May 30, 2017, 2:55 a.m.
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Description
These data are non-stationary and have 5 chains, each with 1000 observations. The first column of this data matrix is an indicator to identify the chains. The second column is the observations. The third and fourth columns are the design matrix for the process. The data were originally used to highlight the diagnostic methods, see diagnos.envel, diagnos, and hrplot for functions to perform those original tasks.
References
Foster, S.D. and Bravington, M.V. (2009) Graphical Diagnostics for Markov Models for Categorical Data. Journal of Computational and Graphical Statistics, to appear.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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