BsMD: summary.BsProb – R documentation

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summary.BsProb

Summary of Posterior Probabilities from Bayesian Screening

Description

Reduced printing method for class BsProb lists. Prints posterior probabilities of factors and models from Bayesian screening procedure.

Usage

## S3 method for class 'BsProb'
summary(object, nMod = 10, digits = 3, ...)

Arguments

`object`	list. `BsProb` class list. Output list of `BsProb` function.
`nMod`	integer. Number of the top ranked models to print.
`digits`	integer. Significant digits to use.
`...`	additional arguments passed to `summary` generic function.

Value

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

`calc`	Numeric vector with basic calculation information.
`probabilities`	Data frame with the marginal posterior factor probabilities.
`models`	Data frame with the models posterior probabilities.

Author(s)

Ernesto Barrios.

References

Box, G. E. P and R. D. Meyer (1986). "An Analysis for Unreplicated Fractional Factorials". Technometrics. Vol. 28. No. 1. pp. 11–18.

Box, G. E. P and R. D. Meyer (1993). "Finding the Active Factors in Fractionated Screening Experiments". Journal of Quality Technology. Vol. 25. No. 2. pp. 94–105.

Examples

library(BsMD)
data(BM86.data,package="BsMD")
X <- as.matrix(BM86.data[,1:15])
y <- BM86.data["y1"]
# Using prior probability of p = 0.20, and k = 10 (gamma = 2.49)
drillAdvance.BsProb <- BsProb(X = X, y = y, blk = 0, mFac = 15, mInt = 1,
            p = 0.20, g = 2.49, ng = 1, nMod = 10)
plot(drillAdvance.BsProb)
summary(drillAdvance.BsProb)

# Using prior probability of p = 0.20, and a 5 <= k <= 15 (1.22 <= gamma <= 3.74)
drillAdvance.BsProbG <- BsProb(X = X, y = y, blk = 0, mFac = 15, mInt = 1,
            p = 0.25, g = c(1.22, 3.74), ng = 3, nMod = 10)
plot(drillAdvance.BsProbG)
summary(drillAdvance.BsProbG)

BsMD

Bayes Screening and Model Discrimination

v2020.4.30

GPL (>= 2)

Authors

Ernesto Barrios based on Daniel Meyer's code.

Initial release

2020-04-30