moveKnot.gaussian: 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
3
moveKnot.gaussian(model.options, knots.previous, knots.positions.candidate,
outcomes, times.dropout, times.observation, covariates, X.previous,
Theta.previous, Z, alpha, betaCovariates, sigma.error)
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.
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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 3 | moveKnot.gaussian(model.options, knots.previous, knots.positions.candidate,
outcomes, times.dropout, times.observation, covariates, X.previous,
Theta.previous, Z, alpha, betaCovariates, sigma.error)
|
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.
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