Efficient Approximate Bayesian Computation Sampling Schemes
Enables launching a series of simulations of a computer code from the R session, and to retrieve the simulation outputs in an appropriate format for post-processing treatments. Five sequential sampling schemes and three coupled-to-MCMC schemes are implemented.

Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert.
pls, mnormt, MASS, parallel, lhs, tensorA

A Convenient Way of Descriptive Statistics
multiCA, CATT, gmodels, psych, rcompanion, FSA, trend
Descriptive Statistics is essential for publishing articles. This package can perform
descriptive statistics according to different data types. If the data is a continuous variable,
the mean and standard deviation or median and quartiles are automatically output; if the data
is a categorical variable, the number and percentage are automatically output. In addition,
if you enter two variables, the first variable will be described hierarchically based on the
second variable and the statistical differences between different groups will be compared using
appropriate statistical methods. And for groups more than two, the post hoc test will be applied.
For more information on the methods we used, please see the following references:
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