Niki Zumbrunnen <niki.zumbrunnen@stat.unibe.ch>,
Lutz Duembgen <lutz.duembgen@stat.unibe.ch>.
Computes nonparametric p-values for the potential class
memberships of new observations as well as cross-validated
p-values for the training data. The p-values are based on
permutation tests applied to an estimated Bayesian likelihood
ratio, using a plug-in statistic for the Gaussian model, 'k
nearest neighbors', 'weighted nearest neighbors' or
'penalized logistic regression'.
Additionally, it provides graphical displays and quantitative
analyses of the p-values.

Niki Zumbrunnen <niki.zumbrunnen@gmail.com>,
Lutz Duembgen <lutz.duembgen@stat.unibe.ch>.

Ryota Suzuki <ryota.suzuki@is.titech.ac.jp>,
Hidetoshi Shimodaira <shimo@is.titech.ac.jp>
pvclust is a package for assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) p-values as well as BP (boostrap probability) values computed via multiscale bootstrap resampling.

Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling

Ryota Suzuki <suzuki@ef-prime.com>,
Hidetoshi Shimodaira <shimo@is.titech.ac.jp>

Hierarchical Clustering with P-Values via Multiscale Bootstrap
Resampling
Ryota Suzuki <suzuki@ef-prime.com>, Hidetoshi Shimodaira
<shimo@is.titech.ac.jp>
pvclust is a package for assessing the uncertainty in
hierarchical cluster analysis. It provides AU (approximately
unbiased) p-values as well as BP (boostrap probability) values
computed via multiscale bootstrap resampling.

Ryota Suzuki <suzuki@ef-prime.com>, Hidetoshi Shimodaira
<shimo@sigmath.es.osaka-u.ac.jp>

An implementation of multiscale bootstrap resampling for
assessing the uncertainty in hierarchical cluster analysis.
It provides AU (approximately unbiased) p-value as well as
BP (bootstrap probability) value for each cluster in a dendrogram.

Ryota Suzuki <suzuki@ef-prime.com>,
Yoshikazu Terada <terada@sigmath.es.osaka-u.ac.jp>,
Hidetoshi Shimodaira <shimo@i.kyoto-u.ac.jp>
An implementation of multiscale bootstrap resampling for
assessing the uncertainty in hierarchical cluster analysis.
It provides SI (selective inference) p-value, AU (approximately unbiased)
p-value and BP (bootstrap probability) value for each cluster in a dendrogram.