Author: Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Leslie Pérez Cáceres,

Description: Iterated racing for automatic algorithm configuration.

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for
the automatic configuration of optimization algorithms, that is,
(offline) tuning their parameters by finding the most appropriate
settings given a set of instances of an optimization problem.
Suggests: Rmpi (>= 0.6.0), parallel, knitr

person("Jérémie", "Dubois-Lacoste", role = "aut"),
person("Leslie", "Pérez Cáceres", role = c("aut")),
person("Mauro", "Birattari", role = "aut"),
person("Prasanna", "Balaprakash", role = "ctb"))

Suggests: Rmpi (>= 0.6.0), parallel, knitr, testthat

Suggests: Rmpi (>= 0.6.0), parallel, knitr, testthat, withr, mlr

M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle,
person("Leslie", "Pérez Cáceres", role = "aut"),
person("Prasanna", "Balaprakash", role = "ctb"),
person("Nguyen", "Dang", role = "ctb", email = "nttd@st-andrews.ac.uk"))
Suggests: Rmpi (>= 0.6.0), parallel, knitr, testthat, withr, mlr (>=

Title: Iteratively Reweighted Boosting for Robust Analysis
Description: Fit a predictive model with the iteratively reweighted boosting (IRBoost) that minimizes the robust loss functions in the CC-family (concave-convex). The convex optimization is conducted by functional descent boosting algorithm in the R package xgboost. The IRBoost reduces the weight of the observation that leads to a large loss; it also provides weights to help identify outliers. Applications include the robust generalized linear models and extensions, where the mean is related to the predictors by boosting, and robust accelerated failure time models. The package supersedes the R package ccboost. Wang (2021) <arXiv:2101.07718>.
Suggests: R.rsp, DiagrammeR, survival, Hmisc

Title: Correlation Coefficients for Information Retrieval
Authors@R: c(person("Julián", "Urbano", email = "urbano.julian@gmail.com", role = c("aut", "cre")),
person("Mónica", "Marrero", email = "marrero.monica@gmail.com", role = c("aut")))
Description: Provides implementation of various correlation coefficients of common use in
Information Retrieval. In particular, it includes Kendall (1970, isbn:0852641990) tau coefficient
as well as tau_a and tau_b for the treatment of ties. It also includes Yilmaz et al. (2008)
<doi:10.1145/1390334.1390435> tauAP correlation coefficient, and versions tauAP_a and tauAP_b
developed by Urbano and Marrero (2017) <doi:10.1145/3121050.3121106> to cope with ties.