hhetmodel: Hierarchical heteroscedastic model estimates
In pdhoff/fabCI: FAB Confidence Intervals
Description
Usage
Arguments
Details
Value
Author(s)
Description
Estimate across-group heterogeneity of means and variances
Usage
1
hhetmodel(y, g)
Arguments
y
a numeric vector of data
g
a group membership vector, of the same length as y
Details
This function estimates
parameters in a hierarchical model for normally distributed
groups, where the across-group model for means is normal
and the across group model for variances is inverse-gamma.
Value
A vector (mu,t2,s20,nu0), where
mu is the mean of the group means
t2 is the variance of the group means
the the distribution of group variances is inverse-gamma(nu0/2,nu0 s20/2)
Author(s)
Peter Hoff
pdhoff/fabCI documentation built on Jan. 18, 2021, 8:39 p.m.
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.
Description Usage Arguments Details Value Author(s)
Description
Estimate across-group heterogeneity of means and variances
Usage
1 | hhetmodel(y, g)
|
Arguments
y |
a numeric vector of data |
g |
a group membership vector, of the same length as y |
Details
This function estimates parameters in a hierarchical model for normally distributed groups, where the across-group model for means is normal and the across group model for variances is inverse-gamma.
Value
A vector (mu,t2,s20,nu0), where
mu is the mean of the group means
t2 is the variance of the group means
the the distribution of group variances is inverse-gamma(nu0/2,nu0 s20/2)
Author(s)
Peter Hoff
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.