Description Usage Arguments Value Author(s) References See Also Examples

Printing method for lists of class `OBsProb`

. It prints the posterior
probabilities of factors and models from the Objective Bayesian procedure.

1 2 3 |

`x` |
list. Object of |

`X` |
logical. If |

`resp` |
logical. If |

`factors` |
logical. If |

`models` |
logical. If |

`nTop` |
integer. Number of the top ranked models to print. |

`digits` |
integer. Significant digits to use for printing. |

`plt` |
logical. If |

`verbose` |
logical. If |

`Sh` |
logical. If |

`CV` |
logical. If |

`...` |
additional arguments passed to |

The function prints out marginal factors and models posterior probabilities. Returns invisible list with the components:

`calc` |
numeric vector with general calculation information. |

`probabilities` |
Data frame with the marginal posterior factor probabilities. |

`models` |
Data frame with model posterior probabilities. |

`Sh` |
Normalized Shannon heterogeneity index on the posterior probabilities of models |

`CV` |
Coefficient of variation of factor posterior probabilities. |

Marta Nai Ruscone.

Box, G. E. P. and Meyer R. D. (1986)
An Analysis of Unreplicated Fractional Factorials.,
*Technometrics* **28**(1), 11–18.
doi: 10.1080/00401706.1986.10488093.

Box, G. E. P. and Meyer, R. D. (1993)
Finding the Active Factors in Fractionated Screening Experiments.,
*Journal of Quality Technology* **25**(2), 94–105.
doi: 10.1080/00224065.1993.11979432.

`OBsProb`

, `summary.OBsProb`

, `plot.OBsProb`

.

1 2 3 4 5 6 7 8 9 | ```
library(OBsMD)
data(OBsMD.es5, package="OBsMD")
X <- as.matrix(OBsMD.es5[,1:5])
y <- OBsMD.es5[,6]
# Using for model prior probability a Beta with parameters a=1 b=1
es5.OBsProb <- OBsProb(X=X,y=y, abeta=1, bbeta=1, blk=0,mFac=5,mInt=2,nTop=32)
print(es5.OBsProb)
summary(es5.OBsProb)
plot(es5.OBsProb)
``` |

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