predict.LSBP_Gibbs: Predict method for the LSBP
In blindedmanuscript/LSBP: Dependent Logit Stick-Breaking Process

Description Usage Arguments Details

Predict method for the LSBP estimated using the Gibbs sampling algorithm.

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## S3 method for class 'LSBP_Gibbs'
predict(object, type = "mean", newdata = NULL,
  threshold = NULL, ...)

`object`	An object of class `LSBP_Gibbs`.
`type`	String indicating the type of prediction: `type="mean"`,`type="predictive"`,`type="variance"` or `type="cdf"`. See details.
`newdata`	A new data frame containing the same variables declared in `Formula`. If missing, the dataset provided for estimation is used.
`threshold`	Only needed if `type="cdf"` is selected. See details.
`...`	Further arguments passed to or from other methods.

The method predict.LSBP_Gibbs produces a sample of predicted values, obtained by evaluating the conditional mean of the LSBP model or the predictive distribution, using the observations contained in the newdata data frame.

If type="mean" a sample from the posterior distribution of the LSBP mean is returned. If type="predictive" is selected, then a sample from the predictive distribution is returned. If type="variance" a sample from the posterior distribution of the LSBP variance is returned. If type="cdf" a sample from the posterior distribution of the LSBP cumulative distribution function is returned, evaluated at threshold.

blindedmanuscript/LSBP documentation built on May 13, 2019, 8:23 a.m.