person("Matthias", "Studer", email = "matthias.studer@unige.ch", role = c("aut", "cre"))
Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.

The WeightedCluster library provides functions to cluster states sequences and weighted data. These functionalities include aggregating replicated cases, an optimized weighted PAM algorithm, function computing cluster quality measures for a range of clustering solutions and miscellaneous functions to plot clustering solutions of state sequences.

Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided.

Weighted Portmanteau Tests for Time Series Goodness-of-fit
This packages contains the Weighted Portmanteau Tests as
described in "New Weighted Portmanteau Statistics for Time
Series Goodness-of-Fit Testing' accepted for publication by the
Journal of the American Statistical Association.

Fast computation of
Receiver Operating Characteristic (ROC) curves
and Area Under the Curve (AUC)
for weighted binary classification problems
(weights are example-specific cost values).
ROCR, pROC, microbenchmark, glmnet, ElemStatLearn, testthat,
ggplot2

ROCR, pROC, PRROC, microbenchmark, glmnet, ElemStatLearn,
testthat, ggplot2, GsymPoint, geometry

ROCR, pROC, PRROC, microbenchmark, glmnet, testthat, ggplot2,
GsymPoint, geometry

Functions for determining the effect of data weights on the variance of survey data: users will load a data set which has a weights column, and the package will calculate the design effect (DEFF), weighting loss, root design effect (DEFT), effective sample size (ESS), and/or weighted margin of error.