R: Bayesian Model Averaging Library

# Bayesian Model Averaging Library

## Documentation for package ‘BMS’ version 0.3.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.

## Help Pages

BMS-package | Bayesian Model Sampling 0.3.3
as.zlm | Extract a Model from a bma Object
beta.draws.bma | Coefficients of the Best Models
bin2hex | Converting Binary Code to and from Hexadecimal Code
bma-class | Class "bma"
BMS | Bayesian Model Sampling 0.3.3
bms | Bayesian Model Sampling and Averaging
c.bma | Concatenate bma objects
coef.bma | Posterior Inclusion Probabilities and Coefficients from a 'bma' Object
combine_chains | Concatenate bma objects
datafls | FLS (2001) growth data
density.bma | Coefficient Marginal Posterior Densities
density.zlm | Coefficient Marginal Posterior Densities
deviance.bma | Posterior Variance and Deviance
deviance.zlm | Posterior Variance and Deviance
estimates.bma | Posterior Inclusion Probabilities and Coefficients from a 'bma' Object
f21hyper | Gaussian Hypergeometric Function F(a,b,c,z)
fullmodel.ssq | OLS Statistics for the Full Model Including All Potential Covariates
gdensity | Posterior Density of the Shrinkage Factor
gprior-class | Class "gprior"
hex2bin | Converting Binary Code to and from Hexadecimal Code
image.bma | Plot Signs of Best Models
info.bma | Summary Statistics for a 'bma' Object
is.bma | Tests for a 'bma' Object
is.topmod | Topmodel Object
logLik.zlm | Variable names and design matrix
lps.bma | Log Predictive Score
model.frame.bma | Variable names and design matrix
mprior-class | Class "mprior"
plot.bma | Plot Posterior Model Size and Model Probabilities
plot.pred.density | Predictive Densities for bma Objects
plotComp | Compare Two or More bma Objects
plotConv | Plot Convergence of BMA Sampler
plotModelsize | Plot Model Size Distribution
pmp.bma | Posterior Model Probabilities
pmpmodel | Posterior Model Probability for any Model
post.pr2 | Posterior Variance and Deviance
post.var | Posterior Variance and Deviance
pred.density | Predictive Densities for bma Objects
pred.density-class | Predictive Densities for bma Objects
predict.bma | Predict Method for bma Objects
predict.zlm | Predict Method for zlm Linear Model
print.bma | Printing bma Objects
print.pred.density | Predictive Densities for bma Objects
print.topmod | Printing topmod Objects
quantile.coef.density | Extract Quantiles from 'density' Objects
quantile.density | Extract Quantiles from 'density' Objects
quantile.pred.density | Extract Quantiles from 'density' Objects
summary.bma | Summary Statistics for a 'bma' Object
summary.zlm | Summarizing Linear Models under Zellner's g
topmod | Topmodel Object
topmod-class | Class "topmod"
topmodels.bma | Model Binaries and their Posterior model Probabilities
variable.names.bma | Variable names and design matrix
variable.names.zlm | Variable names and design matrix
vcov.zlm | Variable names and design matrix
zlm | Bayesian Linear Model with Zellner's g
zlm-class | Class "zlm"
[.bma | Extract Parts of a topmod Object
[.topmod | Extract Parts of a topmod Object