updateCovarianceParameters.binary: Add a new knot and use a Metropolis-Hastings step to...
In kreidles/informativeDropout: informativeDropout: varying coefficient models to account for informative dropout
Description
Usage
Arguments
Value
Examples
View source: R/bayesianSplineFit.R
Description
Add a new knot and use a Metropolis-Hastings step
to determine if we keep the changes to the model
Usage
1
2
updateCovarianceParameters.binary(model.options, numSubjects,
firstObsPerSubject, alpha)
Arguments
x
A number.
y
A number.
Value
The sum of x and y.
Examples
1
2
add(1, 1)
add(10, 1)
kreidles/informativeDropout documentation built on Sept. 13, 2020, 12:15 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.
Description Usage Arguments Value Examples
View source: R/bayesianSplineFit.R
Description
Add a new knot and use a Metropolis-Hastings step to determine if we keep the changes to the model
Usage
1 2 | updateCovarianceParameters.binary(model.options, numSubjects,
firstObsPerSubject, alpha)
|
Arguments
x |
A number. |
y |
A number. |
Value
The sum of x and y.
Examples
1 2 | add(1, 1)
add(10, 1)
|
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.