View source: R/bayesianSplineFit.R
Model fit for a Bayesian spline model run
1 | bayes.splines.fit(model.options, dist, groups, covariates.var, iterations)
|
model.options |
the original model options |
dist |
the distribution of the outcome ("gaussian" or "binary") |
groups |
the list of groups |
covariates.var |
list of covariate column names |
iterations |
the model run iterations after removing burn-in iterations and thinning |
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