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bfp (version 0.0-49)

Bayesian Fractional Polynomials

Description

Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms, see Sabanes Bove, D. and Held, L. (2011) .

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Version

Install

install.packages('bfp')

Monthly Downloads

550

Version

0.0-49

License

GPL (>= 2)

Maintainer

Daniel Sabanes Bove

Last Published

March 30th, 2025

Functions in bfp (0.0-49)

getLogPrior

Extract the log prior probability from a model.
getPostExpectedgAndShrinkage

Extract posterior expected g and shrinkage factor (g/(1+g)) from a model
dinvGamma

Functions for the inverse gamma distribution.
Summary of BmaSamples object

Calculate and print the summary of a BmaSamples object
Summary of BayesMfp object

Calculate and print the summary of a BayesMfp object
ozone

Ozone data from Breiman and Friedman, 1985
scrBesag

Simultaneous credible band computation (Besag, Green et al algorithm)
rmvt

Multivariate Student Random Deviates
scrHpd

Calculate an SCB from a samples matrix
rshrinkage

Sample from the model-specific posterior of the shrinkage factor t = g / (1 + g)
posteriors

Extract posterior model probability estimates from BayesMfp objects
plotCurveEstimate

Generic function for plotting a fractional polynomial curve estimate
predict.BayesMfp

Predict method for BayesMfp objects
predict.BmaSamples

Predict method to extract point and interval predictions from BmaSamples objects
transformMfp

Transform a fitted mfp model into a BayesMfp model
BayesMfp Methods

Other methods for BayesMfp objects
findModel

Find a specific fractional polynomial model in a BayesMfp object
BmaSamples

Bayesian model averaging over multiple fractional polynomial models
Extract.BayesMfp

Extract method for BayesMfp objects
as.data.frame.BayesMfp

Convert a BayesMfp object to a data frame
constructNewdataMatrix

Construct the model matrix for new data based on an existing BayesMfp object
BmaSamples Methods

Other methods for BmaSamples objects
bmaPredict

BMA prediction for new data points
fpScale

Internal function for shifting and rescaling a fractional polynomial covariate
getDesignMatrix

Extract the design matrix of a multiple FP model.
empiricalHpd

Construct an empirical HPD interval from samples
getPosteriorParms

Extract updated posterior parameters for the normal inverse gamma distribution from a model, given a shrinkage factor.
BayesMfp

Bayesian model inference for multiple fractional polynomial models
inclusionProbs

Compute (model averaged) posterior variable inclusion probabilites
getFpTransforms

Internal functions to handle FP transforms.
getLogMargLik

Extract log marginal likelihood from a model.