meanHM: Bayesian Hierarchical Model for Information Borrowing for...
In prome: Patient-Reported Outcome Data Analysis with Stan
MeanHM R Documentation
Bayesian Hierarchical Model for Information Borrowing for Means
Description
To compute the mean values of subgroups based on a Bayesian hierarchical model.
Usage
MeanHM(x,sigma)
Arguments
x
Numeric vector of observations for the subgroups.
sigma
hyper-parameter. to be estimated or can be given.
Value
'theta': population mean.
'sigma': population standard deviation.
Examples
x1 <- rnorm(100,2,1)
x2 <- rnorm(100,3,1.5)
x3 <- rnorm(100,4,1.9)
x <- cbind(x1,x2,x3)
MeanHM(x,sigma=0.5)
prome documentation built on Sept. 13, 2023, 1:07 a.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.
| MeanHM | R Documentation |
Bayesian Hierarchical Model for Information Borrowing for Means
Description
To compute the mean values of subgroups based on a Bayesian hierarchical model.
Usage
MeanHM(x,sigma)
Arguments
x |
Numeric vector of observations for the subgroups. |
sigma |
hyper-parameter. to be estimated or can be given. |
Value
'theta': population mean.
'sigma': population standard deviation.
Examples
x1 <- rnorm(100,2,1)
x2 <- rnorm(100,3,1.5)
x3 <- rnorm(100,4,1.9)
x <- cbind(x1,x2,x3)
MeanHM(x,sigma=0.5)
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.