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rmsb (version 1.1-1)

Bayesian Regression Modeling Strategies

Description

A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, post-fit estimation, and graphics. It implements Bayesian regression models whose fit objects can be processed by 'rms' functions such as 'contrast()', 'summary()', 'Predict()', 'nomogram()', and 'latex()'. The fitting function currently implemented in the package is 'blrm()' for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) .

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Version

Install

install.packages('rmsb')

Monthly Downloads

1,185

Version

1.1-1

License

GPL (>= 3)

Last Published

July 8th, 2024

Functions in rmsb (1.1-1)

getParamCoef

Get a Bayesian Parameter Vector Summary
distSym

Distribution Symmetry Measure
plot.PostF

Plot Posterior Density of PostF
coef.rmsb

Extract Bayesian Summary of Coefficients
plot.rmsb

Plot Posterior Densities and Summaries
compareBmods

Compare Bayesian Model Fits
pdensityContour

Bivariate Posterior Contour
predict.blrm

Make predictions from a blrm() fit
print.blrmStats

Print Details for blrmStats Predictive Accuracy Measures
print.blrm

Print blrm() Results
vcov.rmsb

Variance-Covariance Matrix
stanDx

Print Stan Diagnostics
stackMI

Bayesian Model Fitting and Stacking for Multiple Imputation
[.Ocens

Ocens
tauFetch

Fetch Partial Proportional Odds Parameters
stanDxplot

Diagnostic Trace Plots
stanGet

Get Stan Output
print.rmsb

Basic Print for Bayesian Parameter Summary
print.predict.blrm

Print Predictions for blrm()
selectedQr

QR Decomposition Preserving Selected Columns
rmsb-package

The 'rmsb' package.
blrmStats

Compute Indexes of Predictive Accuracy and Their Uncertainties
Quantile.blrm

Function Generator for Quantiles of Y for blrm()
as.data.frame.Ocens

Convert Ocens Object to Data Frame to Facilitate Subset
Mean.blrm

Function Generator for Mean Y for blrm()
ExProb.blrm

Function Generator for Exceedance Probabilities for blrm()
PostF

Function Generator for Posterior Probabilities of Assertions
Ocens

Censored Ordinal Variable
HPDint

Highest Posterior Density Interval
cluster

cluster
blrm

Bayesian Binary and Ordinal Logistic Regression