postsim: Generate Posterior Simulations for lm or glm Objects...
In jsta/rv: Simulation-Based Random Variable Objects
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
DEFUNCT. Use posterior instead.
Usage
1
postsim(fit)
Arguments
fit
an lm or glm object
Details
Generate posterior simulations for a given fitted linear or general linear
model, assuming the standard "noninformative" priors on the unknowns.
Value
A (named) random vector for each fitted coefficient.
Author(s)
Jouni Kerman jouni@kerman.com
References
Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing
Posterior Simulations Using Random Variable Objects. Statistics and
Computing 17:3, 235-244.
See also vignette("rv").
jsta/rv documentation built on Feb. 12, 2022, 5:13 p.m.
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Description Usage Arguments Details Value Author(s) References
Description
DEFUNCT. Use posterior instead.
Usage
1 | postsim(fit)
|
Arguments
fit |
an lm or glm object |
Details
Generate posterior simulations for a given fitted linear or general linear model, assuming the standard "noninformative" priors on the unknowns.
Value
A (named) random vector for each fitted coefficient.
Author(s)
Jouni Kerman jouni@kerman.com
References
Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Statistics and Computing 17:3, 235-244.
See also vignette("rv").
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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