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bfp (version 0.0-48)
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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0.0-48
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Install
install.packages('bfp')
Monthly Downloads
479
Version
0.0-48
License
GPL (>= 2)
Maintainer
Daniel Sabanes Bove
Last Published
March 14th, 2024
Functions in bfp (0.0-48)
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BmaSamples Methods
Other methods for BmaSamples objects
BmaSamples
Bayesian model averaging over multiple fractional polynomial models
findModel
Find a specific fractional polynomial model in a BayesMfp object
inclusionProbs
Compute (model averaged) posterior variable inclusion probabilites
getPosteriorParms
Extract updated posterior parameters for the normal inverse gamma distribution from a model, given a shrinkage factor.
BayesMfp Methods
Other methods for BayesMfp objects
rshrinkage
Sample from the model-specific posterior of the shrinkage factor t = g / (1 + g)
getLogPrior
Extract the log prior probability from a model.
getDesignMatrix
Extract the design matrix of a multiple FP model.
fpScale
Internal function for shifting and rescaling a fractional polynomial covariate
Summary of BayesMfp object
Calculate and print the summary of a BayesMfp object
bmaPredict
BMA prediction for new data points
rmvt
Multivariate Student Random Deviates
getFpTransforms
Internal functions to handle FP transforms.
getPostExpectedgAndShrinkage
Extract posterior expected g and shrinkage factor (g/(1+g)) from a model
as.data.frame.BayesMfp
Convert a BayesMfp object to a data frame
getLogMargLik
Extract log marginal likelihood from a model.
Summary of BmaSamples object
Calculate and print the summary of a BmaSamples object
transformMfp
Transform a fitted mfp model into a BayesMfp model
scrBesag
Simultaneous credible band computation (Besag, Green et al algorithm)
ozone
Ozone data from Breiman and Friedman, 1985
constructNewdataMatrix
Construct the model matrix for new data based on an existing BayesMfp object
dinvGamma
Functions for the inverse gamma distribution.
scrHpd
Calculate an SCB from a samples matrix
posteriors
Extract posterior model probability estimates from BayesMfp objects
predict.BayesMfp
Predict method for BayesMfp objects
plotCurveEstimate
Generic function for plotting a fractional polynomial curve estimate
predict.BmaSamples
Predict method to extract point and interval predictions from BmaSamples objects
BayesMfp
Bayesian model inference for multiple fractional polynomial models
empiricalHpd
Construct an empirical HPD interval from samples
Extract.BayesMfp
Extract method for BayesMfp objects