Description Usage Arguments Value Examples
View source: R/bayesianSplineFit.R
Add a new knot and use a Metropolis-Hastings step to determine if we keep the changes to the model
1 2 3 | updateCovarianceParameters.gaussian(model.options, totalObservations,
numSubjects, firstObsPerSubject, outcomes, covariates, X, Theta, Z,
alpha, betaCovariates, sigma.error)
|
x |
A number. |
y |
A number. |
The sum of x
and y
.
1 2 | add(1, 1)
add(10, 1)
|
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