Analyze Clustered Data with Generalized Linear Models using the Cluster Bootstrap

Provides functionality for the analysis of clustered data using the cluster bootstrap.


Changes in Version 1.0.0 (2018-06-26)

  • Added parameter estimate.type to summary(), removing inconsistency with output from coefs() by defaulting to bootstrap estimates

Changes in Version 0.9.9 (2018-04-18)

  • Renamed some function arguments for consistency, clarity and aesthetic reasons

  • Added medication dataset from the accompanied website of Singer & Willett (2003)

  • Removed redundant bootstrap estimates from summary.clusbootglm()

  • Added and prettified some error handlings

  • Changed confint() interval.type argument default to match the one from summary() (BCa interval)

Reference manual

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1.1.2 by Mathijs Deen, 8 months ago

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Authors: Mathijs Deen [aut, cre] , Mark de Rooij [aut]

Documentation:   PDF Manual  

GPL-3 | file LICENSE license

Depends on stats, utils, graphics, parallel, magrittr, dplyr

See at CRAN