mlbench, ElemStatLearn, rpart, randomForest, snow, multicore

Sergej Potapov <sergej.potapov@googlemail.com>, Martin Theus
<martin@theusrus.de>
MASS, mlbench, ElemStatLearn, rpart, randomForest, parallel

c( person("Mohammad", "Tabatabai", email = "mtabatabai@mmc.edu",
role = c("aut")),
person("Derek", "Wilus", email = "dwilus@mmc.edu",
role = c("aut", "cre")) )
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
variable.
Mohammad Tabatabai [aut],
Derek Wilus [aut, cre]

Calculates the robust Taba linear, Taba rank (monotonic), TabWil, and TabWil rank
correlations. Test statistics as well as one sided or two sided p-values are provided
for all 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
variable.

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.

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.
v1.2 - fixed "missing "no visible global function definition for .."