Convenience functions and tests for working with the Net
Promoter Score (NPS)
This package provides a few small functions to make working with
survey data in an NPS context easier. Specifically, data transformation
methods, some methods for examining the statistical properties of the NPS,
such as its variance and standard errors, and some simple inferential
testing procedures.

Convenience Functions and Tests for Working With the Net
Promoter Score (NPS)
Small functions to make working with survey data in the context of
a Net Promoter programme easier. Specifically, data transformation methods,
some methods for examining the statistical properties of the NPS, such as
its variance and standard errors, and some simple inferential testing
procedures. Net Promoter and NPS are registered trademarks of Bain &
Company, Satmetrix Systems and Fred Reichheld.

Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry
Data
c(person("Boris P.", "Hejblum", role = c("aut", "cre"),
email = "bhejblum@hsph.harvard.edu"),
person("Chariff", "Alkhassim", role = c("aut"),
email = "chariff.alkhassim@isped.fr"),
person("Francois", "Caron", role = c("aut"),
email = "francois.caron@stats.ox.ac.uk")
)
graphics, stats, grDevices, ellipse, fastcluster, gplots,
ggplot2, pheatmap, reshape2
Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions
modeling oriented towards flow-cytometry data pre-processing applications.
Boris P. Hejblum [aut, cre],
Chariff Alkhassim [aut],
Francois Caron [aut]

c(person("Boris P.", "Hejblum", role = c("aut", "cre"),
email = "boris.hejblum@u-bordeaux.fr"),
person("Chariff", "Alkhassim", role = c("aut"),
email = "chariff.alkhassim@isped.fr"),
person("Francois", "Caron", role = c("aut"),
email = "francois.caron@stats.ox.ac.uk")
)

c(person("Boris P.", "Hejblum", role = c("aut", "cre"),
email = "boris.hejblum@u-bordeaux.fr"),
person("Chariff", "Alkhassim", role = c("aut"),
email = "chariff.alkhassim@u-bordeaux.fr"),
person("Francois", "Caron", role = c("aut"),
email = "francois.caron@stats.ox.ac.uk")
)
foreach, parallel, doParallel, itertools, microbenchmark
Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions
modeling oriented towards flow-cytometry data preprocessing applications.