Emilio L. Cano, Javier M. Moguerza, Mariano Prieto and Andrés Redchuk
Functions and utilities to perform
Statistical Analyses in the Six Sigma way.
Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control),
you can manage several Quality Management studies:
Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis,
etc. Data frames used in the books "Six Sigma with R" (Springer, 2012)
and "Quality Control with R" (Springer, 2015)
are also included in the package.
grDevices, stats, graphics, qcc, grid, lattice, ggplot2,
reshape2, nortest, e1071, scales, testthat, xtable

grDevices, stats, graphics, qcc, lattice, ggplot2, reshape2,
nortest, e1071, scales, testthat, xtable

Functions and utilities to perform
Statistical Analyses in the Six Sigma way.
Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control),
you can manage several Quality Management studies:
Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis,
etc. Data frames used in the books "Six Sigma with R", Cano et al. (2012) [ISBN 978-1-4614-3652-2]
and "Quality Control with R", Cano et al. (2015) [ISBN 978-3-319-24046-6],
are also included in the package.

Estimating the Sizes of Populations at Risk of HIV Infection
from Multiple Data Sources Using a Bayesian Hierarchical Model
This function develops an algorithm for presenting a Bayesian hierarchical model for estimating the sizes of local and national drug injected populations in Bangladesh. The model incorporates multiple commonly used data sources including mapping data, surveys, interventions, capture-recapture data, estimates or guesstimates from organizations, and expert opinion.

The Skew Hyperbolic Student t-distribution
David Scott <d.scott@auckland.ac.nz>, Fiona Grimson
Functions are provided for the density function,
distribution function, quantiles and random number generation
for the skew hyperbolic t-distribution. There are also
functions that fit the distribution to data. There are
functions for the mean, variance, skewness, kurtosis and mode
of a given distribution and to calculate moments of any order
about any centre. To assess goodness of fit, there are
functions to generate a Q-Q plot and a P-P plot.