Description: Use a regularization likelihood method to achieve variable selection purpose. Likelihood can be worked with penalty lasso, smoothly clipped absolute deviations (SCAD), and minimax concave penalty (MCP).
More details see Jiwei Zhao, Yang Yang, and Yang Ning (2018) <arXiv:1703.06379> "Penalized pairwise pseudo likelihood for variable selection with nonignorable missing data." Statistica Sinica.

Packaged: Mon Aug 28 12:41:31 2006; Potapov

Packaged: Wed Aug 30 11:59:25 2006; Potapov

Suggests: mlbench, ElemStatLearn, rpart, randomForest, snow, multicore
Packaged: 2009-11-02 18:41:42 UTC; sergejpotapov

Author: Sergej Potapov <sergej.potapov@googlemail.com>, Martin Theus
Suggests: MASS, mlbench, ElemStatLearn, rpart, randomForest, parallel
Packaged: 2012-03-29 07:42:09 UTC; sergejpotapov

Packaged: Mon Apr 23 23:21:47 2007; sergej

Packaged: Tue Nov 27 14:53:31 2007; meister

Packaged: Thu Nov 27 10:44:49 2008; sergejpotapov

Packaged: Fri Nov 28 11:04:52 2008; sergejpotapov

Title: Taba Linear and Taba Rank Correlations
Authors@R: c( person("Mohammad", "Tabatabai", email = "mtabatabai@mmc.edu",
person("Derek", "Wilus", email = "dwilus@mmc.edu",
Description: Calculates the robust Taba linear and Taba rank (monotonic)
correlations. Test statistics as well as one sided or two sided p-values are provided
for Taba and Taba rank correlations. Multiple correlations and p-values can be calculated
simultaneously across multiple variables. In addition, users will have the option to use
the partial, semipartial, and generalized partial correlations; where the partial and
semipartial correlations use linear, logistic, or Poisson regression to modify the specified

Description: Calculates the robust Taba linear, Taba rank (monotonic), TabWil, and TabWil rank
for all correlations. Multiple correlations and p-values can be calculated

Maintainer: Philip C Schouten <philip.schouten@gmail.com>
Description: Table 1 is the classical way to describe the patients in a
clinical study. The amount of splits in the data in such a table is
limited. Table1Heatmap draws a heatmap of all crosstables that can be
generated with the data. Users can choose between showing the actual
crosstables or direction of effect of associations, and highlight
associations by number of patients or p-values.