pred_accuracy_bes {bbreg} | R Documentation |

Function to calculate the Residual Sum of Squares for partitions (training and test sets) of the data set. Residuals are calculated here based on the bessel regression.

```
pred_accuracy_bes(
residual,
kap,
lam,
z,
x,
v,
ntest,
predict,
epsilon,
link.mean,
link.precision
)
```

`residual` |
Character indicating the type of residual ("pearson", "score" or "quantile"). |

`kap` |
coefficients in kappa related to the mean parameter. |

`lam` |
coefficients in lambda related to the precision parameter. |

`z` |
response vector with 0 < z_i < 1. |

`x` |
matrix containing the covariates for the mean submodel. Each column is a different covariate. |

`v` |
matrix containing the covariates for the precision submodel. Each column is a different covariate. |

`ntest` |
number of observations in the test set for prediction. |

`predict` |
number of partitions (training and test sets) to be evaluated. |

`epsilon` |
tolerance parameter used in the Expectation-Maximization algorithm for the training data set. |

`link.mean` |
a string containing the link function for the mean. The possible link functions for the mean are "logit","probit", "cauchit", "cloglog". |

`link.precision` |
a string containing the link function the precision parameter. The possible link functions for the precision parameter are "identity", "log", "sqrt", "inverse". |

Vector containing the RSS for each partition of the full data set.

[Package *bbreg* version 2.0.2 Index]