bfp: Bayesian Fractional Polynomials
Version 0.0-35

Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms.

AuthorDaniel Sabanes Bove <sabanesd@roche.com> and Isaac Gravestock <isaac.gravestock@uzh.ch>
Date of publication2017-04-05 09:19:55 UTC
MaintainerDaniel Sabanes Bove <sabanesd@roche.com>
LicenseGPL (>= 2)
Version0.0-35
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bfp")

Popular man pages

BmaSamplesMethods: Other methods for BmaSamples objects
constructNewdataMatrix: Construct the model matrix for new data based on an existing...
getPosteriorParms: Extract updated posterior parameters for the normal inverse...
ozone: Ozone data from Breiman and Friedman, 1985
plotCurveEstimate: Generic function for plotting a fractional polynomial curve...
scrBesag: Simultaneous credible band computation (Besag algorithm)
transformMfp: Transform a fitted mfp model into a BayesMfp model
See all...

All man pages Function index File listing

Man pages

as.data.frame.BayesMfp: Convert a BayesMfp object to a data frame
BayesMfp: Bayesian model inference for multiple fractional polynomial...
BayesMfpMethods: Other methods for BayesMfp objects
bmaPredict: BMA prediction for new data points
BmaSamples: Bayesian model averaging over multiple fractional polynomial...
BmaSamplesMethods: Other methods for BmaSamples objects
constructNewdataMatrix: Construct the model matrix for new data based on an existing...
empiricalHpd: Construct an empirical HPD interval from samples
Extract.BayesMfp: Extract method for BayesMfp objects
findModel: Find a specific fractional polynomial model in a BayesMfp...
fpScale: Internal function for shifting and rescaling a fractional...
getDesignMatrix: Extract the design matrix of a multiple FP model.
getFpTransforms: Internal functions to handle FP transforms.
getLogMargLik: Extract log marginal likelihood from a model.
getLogPrior: Extract the log prior probability from a model.
getPosteriorParms: Extract updated posterior parameters for the normal inverse...
getPostExpectedgAndShrinkage: Extract posterior expected g and shrinkage factor (g/(1+g))...
inclusionProbs: Compute (model averaged) posterior variable inclusion...
invGamma: Functions for the inverse gamma distribution.
ozone: Ozone data from Breiman and Friedman, 1985
plotCurveEstimate: Generic function for plotting a fractional polynomial curve...
posteriors: Extract posterior model probability estimates from BayesMfp...
predict.BayesMfp: Predict method for BayesMfp objects
predict.BmaSamples: Predict method to extract point and interval predictions from...
rmvt: Multivariate Student Random Deviates
rshrinkage: Sample from the model-specific posterior of the shrinkage...
scrBesag: Simultaneous credible band computation (Besag algorithm)
scrHpd: Calculate an SCB from a samples matrix
summary.BayesMfp: Calculate and print the summary of a BayesMfp object
summary.BmaSamples: Calculate and print the summary of a BmaSamples object
transformMfp: Transform a fitted mfp model into a BayesMfp model

Functions

'\%bt\%' Man page
BayesMfp Man page
BayesMfp Methods Man page
BmaSamples Man page Source code
BmaSamples Methods Man page
Extract.BayesMfp Man page
[.BayesMfp Man page
as.data.frame.BayesMfp Man page Source code
bfp Man page
bmaPredict Man page Source code
constructNewdataMatrix Man page Source code
dinvGamma Man page Source code
empiricalHpd Man page Source code
findModel Man page
fitted.BayesMfp Man page Source code
fitted.BmaSamples Man page Source code
fpScale Man page
getDesignMatrix Man page Source code
getFpTransforms Man page Source code
getLogMargLik Man page Source code
getLogPrior Man page Source code
getNumberPossibleFps Source code
getPostExpectedShrinkage Man page Source code
getPostExpectedg Man page Source code
getPosteriorParms Man page
getTransformName Man page Source code
inclusionProbs Man page
ozone Man page
pinvGamma Man page Source code
plotCurveEstimate Man page
plotCurveEstimate.BayesMfp Man page
plotCurveEstimate.BmaSamples Man page Source code
posteriors Man page
predict.BayesMfp Man page Source code
predict.BmaSamples Man page Source code
print.BayesMfp Man page Source code
print.BmaSamples Man page Source code
print.predict.BmaSamples Man page Source code
print.summary.BayesMfp Man page Source code
print.summary.BmaSamples Man page Source code
qinvGamma Man page Source code
residuals.BayesMfp Man page Source code
residuals.BmaSamples Man page Source code
rinvGamma Man page Source code
rmvt Man page Source code
rshrinkage Man page Source code
scrBesag Man page Source code
scrHpd Man page Source code
summary.BayesMfp Man page
summary.BmaSamples Man page Source code
transformMfp Man page Source code
uc Man page

Files

inst
inst/examples
inst/examples/simulation.R
inst/CITATION
tests
tests/testSimulation.R
tests/shrinkage.R
tests/test.R
tests/dep.R
src
src/Makevars
src/hyperg.cpp
src/hyperg.h
src/const.c
src/RnewMat.h
src/RnewMat.cpp
src/scripts
src/scripts/SOURCES.mkf
src/conversions.h
src/mtherr.c
src/dataStructure.cpp
src/conversions.cpp
src/hyp2f1.c
src/sum.h
src/newmat
src/newmat/hholder.cpp
src/newmat/nm_misc.cpp
src/newmat/myexcept.h
src/newmat/newmatnl.h
src/newmat/Makefile
src/newmat/newmat1.cpp
src/newmat/newmatnl.cpp
src/newmat/newmatio.h
src/newmat/newmat9.cpp
src/newmat/newmat8.cpp
src/newmat/cholesky.cpp
src/newmat/newmat3.cpp
src/newmat/jacobi.cpp
src/newmat/newmatrm.h
src/newmat/newmat.h
src/newmat/myexcept.cpp
src/newmat/bandmat.cpp
src/newmat/evalue.cpp
src/newmat/precisio.h
src/newmat/newmat6.cpp
src/newmat/nm11.htm
src/newmat/newmatap.h
src/newmat/newmat5.cpp
src/newmat/newmatrm.cpp
src/newmat/newfft.cpp
src/newmat/newmat7.cpp
src/newmat/newmat2.cpp
src/newmat/sort.cpp
src/newmat/fft.cpp
src/newmat/controlw.h
src/newmat/submat.cpp
src/newmat/svd.cpp
src/newmat/include.h
src/newmat/newmatex.cpp
src/newmat/newmatrc.h
src/newmat/newmat4.cpp
src/bayesMfp.cpp
src/types.h
src/rcppExport.h
src/combinatorics.cpp
src/combinatorics.h
src/dataStructure.h
src/bfp-win.def
src/mconf.h
NAMESPACE
demo
demo/00Index
demo/ozone.R
data
data/ozone.RData
R
R/scrBesag.R
R/plotCurveEstimate.R
R/plotCurveEstimate.BmaSamples.R
R/fpScale.R
R/getFpTransforms.R
R/BayesMfp.R
R/BmaSamples.R
R/getLogPrior.R
R/getPosteriorParms.R
R/constructNewdataMatrix.R
R/summary.BayesMfp.R
R/plotCurveEstimate.BayesMfp.R
R/transformMfp.R
R/scrHpd.R
R/getPostExpectedgAndShrinkage.R
R/findModel.R
R/BmaSamplesMethods.R
R/getDesignMatrix.R
R/invGamma.R
R/getLogMargLik.R
R/BayesMfpMethods.R
R/empiricalHpd.R
R/posteriors.R
R/inclusionProbs.R
R/summary.BmaSamples.R
R/bmaPredict.R
R/rshrinkage.R
R/rmvt.R
MD5
build
build/partial.rdb
DESCRIPTION
ChangeLog
man
man/invGamma.Rd
man/BmaSamples.Rd
man/rshrinkage.Rd
man/transformMfp.Rd
man/predict.BmaSamples.Rd
man/scrBesag.Rd
man/Extract.BayesMfp.Rd
man/getLogMargLik.Rd
man/as.data.frame.BayesMfp.Rd
man/constructNewdataMatrix.Rd
man/rmvt.Rd
man/scrHpd.Rd
man/BayesMfp.Rd
man/getDesignMatrix.Rd
man/summary.BayesMfp.Rd
man/fpScale.Rd
man/predict.BayesMfp.Rd
man/getPostExpectedgAndShrinkage.Rd
man/empiricalHpd.Rd
man/BmaSamplesMethods.Rd
man/getPosteriorParms.Rd
man/plotCurveEstimate.Rd
man/getLogPrior.Rd
man/inclusionProbs.Rd
man/ozone.Rd
man/BayesMfpMethods.Rd
man/summary.BmaSamples.Rd
man/bmaPredict.Rd
man/getFpTransforms.Rd
man/findModel.Rd
man/posteriors.Rd
bfp documentation built on May 20, 2017, 3:55 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.