bhpm.sim.control.params: Generate a template for the individual model parameter...
In bhpm: Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This function generates a template for overriding the global simulation parameters used by the model simulation functions (e.g. bhpm.cluster.BB.hier3).
Usage
1
bhpm.sim.control.params(cluster.data, model = "1a")
Arguments
cluster.data
A file or data frame containing the cluster data.
model
Allowed values are "BB" and "1a" for point-mass and non-point-mass models respectively.
Value
A dataframe containing the simulation parameters template.
Author(s)
R. Carragher
Examples
1
2
3
4
5
6
7
data(bhpm.cluster.data1)
s.c.p <- bhpm.sim.control.params(bhpm.cluster.data1)
head(s.c.p)
data(bhpm.cluster.data1)
s.c.p <- bhpm.sim.control.params(bhpm.cluster.data1)
head(s.c.p)
bhpm documentation built on April 1, 2020, 5:09 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
This function generates a template for overriding the global simulation parameters used by the model simulation functions (e.g. bhpm.cluster.BB.hier3).
Usage
1 | bhpm.sim.control.params(cluster.data, model = "1a")
|
Arguments
cluster.data |
A file or data frame containing the cluster data. |
model |
Allowed values are "BB" and "1a" for point-mass and non-point-mass models respectively. |
Value
A dataframe containing the simulation parameters template.
Author(s)
R. Carragher
Examples
1 2 3 4 5 6 7 | data(bhpm.cluster.data1)
s.c.p <- bhpm.sim.control.params(bhpm.cluster.data1)
head(s.c.p)
data(bhpm.cluster.data1)
s.c.p <- bhpm.sim.control.params(bhpm.cluster.data1)
head(s.c.p)
|
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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