Title: Co-clustering Package for Binary, Categorical, Contingency and
, person("Vincent", "Brault", role = "ctb", email = "vincent.brault@imag.fr")
, person("Vincent", "Kubicki", role = "ctb", email = "vincent.kubicki@laposte.net")
variables sets. The 'blockcluster' package provides a bridge between the C++
computing environment. This package allows to co-cluster binary
continuous <doi:10.1007/s11634-013-0161-3> and categorical data-sets
<doi:10.1007/s11222-014-9472-2>. It also provides utility functions to

Title: Co-Clustering Package for Binary, Categorical, Contingency and

Title: Change Point Detection for Multiple Aligned Independent Time
Description: Implementation of statistical models based on
regularized likelihood for offline change point detection on multiple
aligned independent time series. It detects changes in
parameters for the specified family for the series as group or block.
As a reference for the method, see Prates et al. (2021) <arXiv:2111.10187>.
Packaged: 2022-08-08 23:16:33 UTC; lucasprates
Author: Lucas Prates [aut, cre] (<https://orcid.org/0000-0002-6431-8232>),

Title: Create Blocks or Strata which are Similar Within
Description: Implements a heuristic algorithm to build blocks of a given size
aiming to maximize similarity within strata across multiple covariates.
The blocking structure can be used for causal inference and for sensitivity
analysis to unmeasured confounding. A stratified structure gives more flexibility
for using multiple instrumental variables and direct treatment vs. control
Karmakar, B., Small, D. S., and Rosenbaum, P. R. (2018).

Title: Select Optimal Block-Length to Bootstrap Dependent Data (Block
Description: A set of functions to select the optimal block-length for a
dependent bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing
(1995) <doi:10.1093/biomet/82.3.561#'> cross-validation method and the
Politis and White (2004) <doi:10.1081/ETC-120028836> Spectral Density
Plug-in method with a corresponding set of S3 plot methods.

Title: Select an Optimal Block-Length to Bootstrap Dependent Data
(1995) <doi:10.1093/biomet/82.3.561> cross-validation method and the
Plug-in method, including the Patton, Politis, and White (2009)
<doi:10.1080/07474930802459016> correction with a corresponding set of S3
Suggests: testthat, covr, parallel, knitr, rmarkdown