Title: Monte Carlo Hypothesis Tests with Sequential Stopping
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>
Description: Performs Monte Carlo hypothesis tests, allowing a couple of different sequential stopping boundaries. For example, a truncated sequential probability ratio test boundary (Fay, Kim and Hachey, 2007 <DOI:10.1198/106186007X257025>) and a boundary proposed by Besag and Clifford, 1991 <DOI:10.1093/biomet/78.2.301>. Gives valid p-values and confidence intervals on p-values.

Packaged: Fri Mar 23 19:03:45 2007; faym

Title: Conjoint Analysis through Averaging of Multiple Analyses
Description: The package aids in creating a Conjoint Analysis design
with extra cards.  Unlike traditional "holdout" cards these
cards are used to create a set of "good" (balanced and low
correlation) designs. Each of these designs is analyzed and the

Title: Moran-Downton Bivariate Exponential Distribution
Description: Provides 3D plots of the Moran-Downton bivariate exponential distribution (MDBED),
generates bivariate random values, and also provides values of the joint and conditional PDFs and CDFs.
Nagao M, Kadoya M (1971) <http://hdl.handle.net/2433/124795>.

Title: Minimum Detectable Difference Calculations
Description: Calculates minimum detectable difference for several continuous and binary endpoints.  Also contains programs to compare the MDD to the clinically significant difference for most of the same tests.

person("Szymon", "Migacz", email = "szmigacz@gmail.com", role = "aut"),
person(c("Witold", "Remigiusz"), "Rudnicki", email = "w.rudnicki@icm.edu.pl", role = "aut"))
calculating multidimensional information gains, scoring variables,
finding important variables, plotting selection results.
This package includes an optional CUDA implementation that speeds up
information gain calculation using NVIDIA GPGPUs.

Description: The multinomial diversity model is a toolbox for relating diversity to complex predictors. It is based on (1) Shannon diversity; (2) the multinomial logit model, and (3) the link between Shannon diversity and the log-likelihood of the MLM.