View source: R/bayesianSplineFit.R
bayes.splines.iteration
1 2 3 4 5 | bayes.splines.iteration(knots = NULL, Theta = NULL,
betas.covariates = NULL, sigma.residual = 1,
sigma.randomIntercept = 1, sigma.randomSlope = 1,
sigma.randomInterceptSlope = 0, sigma.error = 1,
sigma.error.shape = 0.001, sigma.error.rate = 0.001)
|
knots |
list of knot positions by group |
Theta |
list of spline coefficients by group |
betas.covariates |
regression coefficients related to covariates |
sigma.residual |
covariance of the spline coefficients |
sigma.randomIntercept |
variance of the random intercepts |
sigma.randomSlope |
variance of the random slopes |
sigma.randomInterceptSlope |
covariance of the random intercepts and slopes |
sigma.error |
for Gaussian outcomes, the residual error |
sigma.error.shape |
for Gaussian outcomes, the shape hyperparamter of the inverse gamma distribution of the residual error |
sigma.error.rate |
for Gaussian outcomes, the rate hyperparamter of the inverse gamma distribution of the residual error |
shape.tau |
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