mediators based on the potential outcome framework. High dimensional
Bayesian mediation (HDBM), developed by Song et al (2018)
<doi:10.1101/467399>, relies on two Bayesian sparse linear mixed models to
simultaneously analyze a relatively large number of mediators for a
continuous exposure and outcome assuming a small number of mediators are
truly active. This sparsity assumption also allows the extension of
univariate mediator analysis by casting the identification of active
mediators as a variable selection problem and applying Bayesian methods
with continuous shrinkage priors on the effects.

Title: Easy Manipulation of Out of Memory Data Sets
Description: Hard drive data: Class of data allowing the easy importation/manipulation of out of memory data sets. The data sets are located on disk but look like in-memory, the syntax for manipulation is similar to 'data.table'. Operations are performed "chunk-wise" behind the scene.
Packaged: 2019-11-04 10:08:41 UTC; laurent.berge

Title: Use known groups in high-dimensional data to derive scores for plots
Description: Cross-validated linear discriminant calculations
determine the optimum number of features. Test and training
scores from successive cross-validation steps determine, via a
principal components calculation, a low-dimensional global space onto
which test scores are projected, in order to plot them. Further functions
Packaged: Wed Feb  8 12:58:33 2006; hornik

Description: Cross-validated linear discriminant calculations determine
the optimum number of features. Test and training scores from
successive cross-validation steps determine, via a principal
components calculation, a low-dimensional global space onto which test
scores are projected, in order to plot them. Further functions are
Packaged: Thu Apr 27 12:13:01 2006; johnm

Packaged: Tue Jan 13 11:04:46 2009; johnm

Title: Use known groups in high-dimensional data to derive scores for
components calculation, a low-dimensional global space onto
which test scores are projected, in order to plot them. Further
functions are included that serve didactic purposes.