Description: Computes appropriate confidence intervals for the likelihood ratio tests commonly used in medicine/epidemiology.  It is particularly useful when the sensitivity or specificity in the sample is 100%.  Note that this does not perform the test on nested models--for that, see 'epicalc::lrtest'.

Imports: boot, doParallel, foreach, plsRglm, pls, spls, bipartite,
Suggests: knitr, markdown, plsdof, prettydoc, rmarkdown
Title: Bootstrap Hyperparameter Selection for PLS Models and Extensions
person(given = "Jeremy", family= "Magnanensi", role = c("aut"), email = "jeremy.magnanensi@gmail.com"),
Description: Several implementations of non-parametric stable bootstrap-based techniques to determine the numbers of components for Partial Least Squares linear or generalized linear regression models as well as and sparse Partial Least Squares linear or generalized linear regression models. The package collects techniques that were published in a book chapter (Magnanensi et al. 2016, 'The Multiple Facets of Partial Least Squares and Related Methods', <doi:10.1007/978-3-319-40643-5_18>) and two articles (Magnanensi et al. 2017, 'Statistics and Computing', <doi:10.1007/s11222-016-9651-4>) and (Magnanensi et al. 2021, 'Frontiers in Applied Mathematics and Statistics', accepted.).
Classification/MSC: 62N01, 62N02, 62N03, 62N99

Title: Bootstrapped Response and Correlation Functions
Description: Calculation of Bootstrapped Response and Correlation
Packaged: 2009-06-24 13:24:55 UTC; christian

Packaged: 2009-07-07 12:09:46 UTC; christian

Packaged: 2011-03-14 17:26:36 UTC; christian

Description: Calculation of Bootstrapped Response and Correlation Functions for Use in Dendroclimatology
Packaged: 2011-11-14 15:04:16 UTC; christian

Packaged: 2012-04-16 07:40:04 UTC; christian

Packaged: 2012-05-02 17:44:20 UTC; christian

Packaged: 2012-11-27 08:28:34 UTC; christian

Description: Bootstrapped correlation and response functions are widely used in dendrochronology to calibrate tree-ring proxy data against multiple instrumental time series of climatic variables. With this package, we provide functionality similar to DENDROCLIM2002 (Biondi and Waikul (2004) <10.1016/j.cageo.2003.11.004>). A full description with examples is given in Zang and Biondi (2013) <10.1016/j.dendro.2012.08.001>.
Packaged: 2018-06-04 12:52:06 UTC; christian