sufficientStatistics.GaussianNIG: Sufficient statistics of a "GaussianNIG" object

In bbricks: Bayesian Methods and Graphical Model Structures for Statistical Modeling

Description

For following Gaussian-NIG model structure:

x \sim Gaussian(X beta,sigma^2)

sigma^2 \sim InvGamma(a,b)

beta \sim Gaussian(m,sigma^2 V)

Where X is a row vector, or a design matrix where each row is an obervation. InvGamma() is the Inverse-Gamma distribution, Gaussian() is the Gaussian distribution. See ?dInvGamma and dGaussian for the definitions of these distribution.
The model structure and prior parameters are stored in a "GaussianNIG" object.
The sufficient statistics of a set of samples (x,X) are:

• the effective number of samples N=nrow(X) or length(x)

• the covariance of X and x SXx=t(X)

• the covariance of X SX=t(X)

• the covariance of x Sx=t(x)

Usage

## S3 method for class 'GaussianNIG'
sufficientStatistics(obj, x, X, foreach = FALSE, ...)

Arguments

obj	A "GaussianNIG" object.
x	numeric, must satisfy length(x) = nrow(X)
X	matrix, must satisfy length(x) = nrow(X)
foreach	logical, if foreach=TRUE, will return a list of sufficient statistics for each (x,X), otherwise will return the sufficient statistics as a whole.
...	Additional arguments to be passed to other inherited types.

Value

If foreach=TRUE, will return a list of sufficient statistics for each row of (x,X), otherwise will return the sufficient statistics of (x,X) as a whole.

References

Banerjee, Sudipto. "Bayesian Linear Model: Gory Details." Downloaded from http://www. biostat. umn. edu/~ph7440 (2008).

See Also

GaussianNIG, sufficientStatistics_Weighted.GaussianNIG

Examples

obj <- GaussianNIG(gamma=list(m=0,V=1,a=1,b=0))
X <- 1:20
x <- rnorm(20)+ X*0.3
sufficientStatistics(obj = obj,X=X,x=x)
sufficientStatistics(obj = obj,X=X,x=x,foreach = TRUE)

bbricks documentation built on July 8, 2020, 7:29 p.m.