Description Usage Arguments Value Examples

View source: R/predict.BayesSUR.R

Predict responses corresponding to the posterior mean of the coefficients, return posterior mean of coefficients or indices of nonzero coefficients of a "BayesSUR" class object.

1 2 3 4 5 6 7 8 |

`object` |
an object of class "BayesSUR" |

`newx` |
Matrix of new values for x at which predictions are to be made. Must be a matrix |

`type` |
Type of prediction required. Type "response" gives the fitted responses. Type "coefficients" computes the coefficients
truncated the estimated coefficients based on thresholding the estimated latent indicator variable at |

`Pmax` |
threshold that truncates the estimated coefficients based on thresholding the estimated latent indicator variable. Default is 0. |

`...` |
other arguments |

Predicted values extracted from an object of class "BayesSUR". If the `BayesSUR`

specified data standardization, the fitted values are base based on standardized data.

1 2 3 4 5 6 7 8 9 10 11 | ```
data("example_eQTL", package = "BayesSUR")
hyperpar <- list( a_w = 2 , b_w = 5 )
fit <- BayesSUR(Y = example_eQTL[["blockList"]][[1]],
X = example_eQTL[["blockList"]][[2]],
data = example_eQTL[["data"]], outFilePath = tempdir(),
nIter = 100, burnin = 50, nChains = 2, gammaPrior = "hotspot",
hyperpar = hyperpar, tmpFolder = "tmp/" )
## check prediction
predict.val <- predict(fit, newx=example_eQTL[["blockList"]][[2]])
``` |

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