cement

cement.miss

Heat evolved in setting of cement, as a function of its chemical
composition.

datasets

Estimation of multivariate normal (MVN) and student-t data of
arbitrary dimension where the pattern of missing data is monotone.
See Pantaleo and Gramacy (2010) <doi:10.48550/arXiv.0907.2135>.
Through the use of parsimonious/shrinkage regressions
(plsr, pcr, lasso, ridge, etc.), where standard regressions fail,
the package can handle a nearly arbitrary amount of missing data.
The current version supports maximum likelihood inference and
a full Bayesian approach employing scale-mixtures for Gibbs sampling.
Monotone data augmentation extends this Bayesian approach to arbitrary
missingness patterns. A fully functional standalone interface to the
Bayesian lasso (from Park & Casella), Normal-Gamma (from Griffin & Brown),
Horseshoe (from Carvalho, Polson, & Scott), and ridge regression
with model selection via Reversible Jump, and student-t errors
(from Geweke) is also provided.

Robert Gramacy

monomvn

Estimation for MVN and Student-t Data with Monotone Missingness

cement function

A <code>data.frame</code> with 13 observations on the following 5 variables.<dl>
 <dt>x1 </dt>
<dd>percentage weight in clinkers of 3CaO.Al2O3</dd> <dt>x2 </dt>
<dd>percentage weight in clinkers of 3CaO.SiO2</dd> <dt>x3 </dt>
<dd>percentage weight in clinkers of 4CaO.Al2O3.Fe2O3</dd> <dt>x4 </dt>
<dd>percentage weight in clinkers of 2CaO.SiO2</dd> <dt>y </dt>
<dd>heat evolved (calories/gram)</dd> 
</dl>

Format

Hald's Cement Data — cement

A <code>data.frame</code> with 13 observations on the following 5 variables.<dl>
 <dt>x1 </dt>
<dd>percentage weight in clinkers of 3CaO.Al2O3</dd>

 <dt>x2 </dt>
<dd>percentage weight in clinkers of 3CaO.SiO2</dd>

 <dt>x3 </dt>
<dd>percentage weight in clinkers of 4CaO.Al2O3.Fe2O3</dd>

 <dt>x4 </dt>
<dd>percentage weight in clinkers of 2CaO.SiO2</dd>

 <dt>y </dt>
<dd>heat evolved (calories/gram)</dd>

 
</dl>

cement: Hald's Cement Data

Description

Usage

Arguments

Format

Details

References

See Also

Examples