Classification - Bayesian Adaptive Smoothing Splines


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Documentation for package ‘cbass’ version 0.1

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augment.X Augment X for missing data approach for MNAR
fit.cbass Fit CBASS model using reversible jump MCMC
p.mu Predict vector of probabilities from vector of latent means
pred.cbass Generate chain of latent normal random variables for a given X, for values saved in 'mod'
sample.z Draw samples of independent normals (matrix) given previous sample, and maximal values