Calculate p-values and confidence intervals using cluster-adjusted
t-statistics (based on Ibragimov and Muller 2010, Journal of Business and
Economic Statistics 28(4)), pairs cluster bootstrapped t-statistics, and wild
cluster bootstrapped t-statistics (the latter two techniques based on Cameron,
Gelbach, and Miller 2008, Review of Economics and Statistics 90(3)). Procedures
are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit
models.

Calculate p-values and confidence intervals using cluster-adjusted
t-statistics (based on Ibragimov and Muller (2010) <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.

sandwich, lmtest, mlogit (>= 1.1-0), utils, dfidx

Searching for optimal clustering procedure for a data set
Marek Walesiak <Marek.Walesiak@ae.jgora.pl> Andrzej Dudek <Andrzej.Dudek@ae.jgora.pl>
GDM Distance,
Sokal-Michener Distance,
Bray-Curtis Distance,
Calinski-Harabasz Index,
G2 Index,
G3 Index,
Silhouette Index,
Krzanowski-Lai Index,
Hartigan Index,
Gap Index,
Data Normalization,
HINoV method,
Replication analysis for cluster validation,
Clustering with several algorithms, distances, normalizations and icq indices

GDM Distance,
Sokal-Michener Distance,
Bray-Curtis Distance,
Calinski-Harabasz Index,
G2 Index,
G3 Index,
Silhouette Index,
Krzanowski-Lai Index,
Hartigan Index,
Gap Index,
Data Normalization,
HINoV method,
Replication analysis for cluster validation,
Clustering with several algorithms, distances, normalizations and icq indices,
Symbolic interval distances,
Plot functions,
Random cluster generation

GDM Distance,
Sokal-Michener Distance,
Bray-Curtis Distance,
Calinski-Harabasz Index,
G2 Index,
G3 Index,
Silhouette Index,
Krzanowski-Lai Index,
Hartigan Index,
Gap Index,
DB Index,
Data Normalization,
HINoV method,
Replication analysis for cluster validation,
Clustering with several algorithms, distances, normalizations and icq indices,
Symbolic interval distances,
Plot functions,
Random cluster generation