ox.MC: A MCmcmc object from the oximetry data.
In MethComp: Analysis of Agreement in Method Comparison Studies
Description
Format
Details
Examples
Description
This object is included for illustrative purposes. It is a result of using
MCmcmc, with n.iter=20000.
Format
The format is a MCmcmc object.
Details
The data are the ox dataset, where measurements are linked
within replicate (=day of analysis).
Examples
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data(ox.MC)
attr(ox.MC,"mcmc.par")
## Not run:
print.MCmcmc(ox.MC)
trace.MCmcmc(ox.MC)
trace.MCmcmc(ox.MC,"beta")
post.MCmcmc(ox.MC)
post.MCmcmc(ox.MC,"beta")
## End(Not run)
# A MCmcmc object also has class mcmc.list, so we can use the
# coda functions for covergence diagnostics:
## Not run: acfplot( subset.MCmcmc(ox.MC, subset="sigma"))
MethComp documentation built on Jan. 20, 2020, 1:12 a.m.
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Description Format Details Examples
Description
This object is included for illustrative purposes. It is a result of using
MCmcmc, with n.iter=20000.
Format
The format is a MCmcmc object.
Details
The data are the ox dataset, where measurements are linked
within replicate (=day of analysis).
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 |
data(ox.MC)
attr(ox.MC,"mcmc.par")
## Not run:
print.MCmcmc(ox.MC)
trace.MCmcmc(ox.MC)
trace.MCmcmc(ox.MC,"beta")
post.MCmcmc(ox.MC)
post.MCmcmc(ox.MC,"beta")
## End(Not run)
# A MCmcmc object also has class mcmc.list, so we can use the
# coda functions for covergence diagnostics:
## Not run: acfplot( subset.MCmcmc(ox.MC, subset="sigma"))
|
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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