Several functions are available for calculating the most
widely used effect sizes (ES), along with their variances, confidence
intervals and p-values. The output includes ES's of d (mean difference), g
(unbiased estimate of d), r (correlation coefficient), z' (Fisher's z), and
OR (odds ratio and log odds ratio). In addition, NNT (number needed to
treat), U3, CLES (Common Language Effect Size) and Cliff's Delta are
computed. This package uses recommended formulas as described in The
Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, &
Valentine, 2009).

News

==============================================================================
Changes in compute.es 0.2-4 (09-16-2014)

Minor changes

o Changed calculation of NNT to Furukawa and Leucht's (2011) procedure.
o Added cer and verbose arguments (see documentation for details).
o Changed documentation accordingly.

==============================================================================
Changes in compute.es 0.2-3 (01-17-2014)

Minor changes

o Fixed bug that did not allow output to be saved as object for single value
inputs.
o Added simple examples for running functions in the documentation.
o Minor clarifications to function arguments based on user feedback

==============================================================================
Changes in compute.es 0.2-2 (10-18-2013)

Major changes

o Effect sizes can now be calculated from both scalar values
and vector data.
o Functions will now output confidence intervals, and p-values,
along with NNT (number needed to treat), U3 (Cohen's U_3 distribution
overlap statistic), CLES (Common Language Effect Size) and
Cliff's Delta (success rate difference).

Minor changes

o More user friendly output than previous versions
o Documentation changed accordingly.

==============================================================================
First version in R CRAN compute.es 0.1