Generalized iLUCK-models are a way to define sets of priors based on conjugate priors, with the property that the set of posteriors, obtained by updating each prior in the set by Bayes' rule, is still easy to handle. Generalized iLUCK-models belong to the domain of imprecise probability (or interval probability models), allow to include non-stochastic uncertainty ('ambiguity') in Bayesian analysis, and lead to reasonable inferences in case of prior-data conflict.

Author | Gero Walter [aut, cre], Norbert Krautenbacher [aut] |

Date of publication | 2013-08-27 15:53:15 |

Maintainer | Gero Walter <Gero.Walter@stat.uni-muenchen.de> |

License | Artistic-2.0 |

Version | 0.9 |

**cdfplot-methods:** Plot sets of cumulative density functions for 'LuckModel'...

**ExponentialData-class:** Class '"ExponentialData"' and its constructor function...

**ExponentialLuckModel-class:** Class '"ExponentialLuckModel"' and its constructor function...

**is.samplesize:** Function to check if the argument is a sample size, i.e., a...

**LuckModel-class:** Class '"LuckModel"' and its constructor function...

**LuckModelData-class:** Class '"LuckModelData"' and its constructor function...

**luck-package:** Generalized iLUCK Models for Bayesian Inference with Sets of...

**OptionalMatrix-class:** Class '"OptionalMatrix"'

**plot-methods:** Plotting canonical parameter sets

**ScaledNormalData-class:** Class '"ScaledNormalData"' and its constructor function...

**ScaledNormalLuckModel-class:** Class '"ScaledNormalLuckModel"' and its constructor function...

**show-methods:** Methods for printing LuckModel and LuckModelData objects of...

**singleCdf-methods:** Values of the cumulative density function

**singleHdi-methods:** Highest density intervals for 'LuckModel's

**unionHdi-methods:** Calculate the union of highest density intervals for...

**updateLuckN:** Calculate the posterior canonical parameter n^(n)

**updateLuckY:** Calculate the posterior canonical parameter y^(n)

**wrapOptim:** Function to address 'optim' and 'optimize' with the same set...

luck/DESCRIPTION

luck/NAMESPACE

luck/R

luck/R/00-01_LuckModelData.r

luck/R/00-02_LuckModel.r

luck/R/00-03_utilLuckModel.r

luck/R/00-04_unionHdiLuckModel.r

luck/R/00-05_plotLuckModel.r

luck/R/00-06_cdfplotLuckModel.r

luck/R/01-01_ScaledNormalData.r

luck/R/01-02_ScaledNormal.r

luck/R/02-01_ExponentialData.r

luck/R/02-02_Exponential.r

luck/inst

luck/inst/CITATION

luck/man

luck/man/ExponentialData-class.Rd
luck/man/ExponentialLuckModel-class.Rd
luck/man/LuckModel-class.Rd
luck/man/LuckModelData-class.Rd
luck/man/OptionalMatrix-class.Rd
luck/man/ScaledNormalData-class.Rd
luck/man/ScaledNormalLuckModel-class.Rd
luck/man/cdfplot-methods.Rd
luck/man/is.samplesize.Rd
luck/man/luck-package.Rd
luck/man/plot-methods.Rd
luck/man/show-methods.Rd
luck/man/singleCdf-methods.Rd
luck/man/singleHdi-methods.Rd
luck/man/unionHdi-methods.Rd
luck/man/updateLuckN.Rd
luck/man/updateLuckY.Rd
luck/man/wrapOptim.Rd
luck/tests

luck/tests/00-01_LuckModelData_Tests.R

luck/tests/00-01_LuckModelData_Tests.Rout

luck/tests/00-02_LuckModel_Tests.R

luck/tests/00-02_LuckModel_Tests.Rout

luck/tests/00-03_utilLuckModel_Tests.R

luck/tests/00-03_utilLuckModel_Tests.Rout

luck/tests/00-05_plotLuckModel_Tests.R

luck/tests/00-05_plotLuckModel_Tests.Rout

luck/tests/01-01_ScaledNormalData_Tests.R

luck/tests/01-01_ScaledNormalData_Tests.Rout

luck/tests/01-02_ScaledNormal_Tests.R

luck/tests/01-02_ScaledNormal_Tests.Rout

luck/tests/02-01_ExponentialData_Tests.R

luck/tests/02-01_ExponentialData_Tests.Rout

luck/tests/02-02_Exponential_Tests.R

luck/tests/02-02_Exponential_Tests.Rout

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