ranefLevels: Extract the levels of factors used for random effects in...
In JWiley/postMCMCglmm: Average marginal predicted probabilities from Bayesian ordered probit models
Description
Usage
Arguments
See Also
Examples
Description
Extract the levels of factors used for random effects in
MCMCglmm objects
Usage
1
ranefLevels(object, data, ...)
Arguments
object
An MCMCglmm model object
data
The dataset used for the model
...
Not currently used
See Also
paramNamesMCMCglmm,
ranef.MCMCglmm
Examples
1
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9
## Not run:
# a simple MCMCglmm model
data(PlodiaPO)
m <- MCMCglmm(PO ~ 1, random = ~ FSfamily, data = PlodiaPO, verbose=FALSE)
# extract the random effects levels
ranefLevels(m, PlodiaPO)
## End(Not run)
JWiley/postMCMCglmm documentation built on May 7, 2019, 10:15 a.m.
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Description Usage Arguments See Also Examples
Description
Extract the levels of factors used for random effects in
MCMCglmm objects
Usage
1 | ranefLevels(object, data, ...)
|
Arguments
object |
An |
data |
The dataset used for the model |
... |
Not currently used |
See Also
paramNamesMCMCglmm,
ranef.MCMCglmm
Examples
1 2 3 4 5 6 7 8 9 | ## Not run:
# a simple MCMCglmm model
data(PlodiaPO)
m <- MCMCglmm(PO ~ 1, random = ~ FSfamily, data = PlodiaPO, verbose=FALSE)
# extract the random effects levels
ranefLevels(m, PlodiaPO)
## End(Not run)
|
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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