person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre"))

abind, testthat, tcltk, foreach, doParallel, itertools,
iterators, covr

Reimplementations of Functions Introduced Since R-3.0.0

c(
    person("Michel", "Lang", NULL, "michellang@gmail.com",
      role = c("cre", "aut"), comment = c(ORCID = "0000-0001-9754-0393")),
    person("R Core Team", role = "aut"))

Functions introduced or changed since R v3.0.0 are re-implemented in this
    package. The backports are conditionally exported in order to let R resolve
    the function name to either the implemented backport, or the respective base
    version, if available. Package developers can make use of new functions or
    arguments by selectively importing specific backports to
    support older installations.

Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>),
  R Core Team [aut]

Phil Spector, Jerome Friedman, Robert Tibshirani, Thomas Lumley, Shawn Garbett, Jonathan Baron

Two nonparametric methods for multiple regression transform selection are provided.
  The first, Alternative Conditional Expectations (ACE), 
  is an algorithm to find the fixed point of maximal
  correlation, i.e. it finds a set of transformed response variables that maximizes R^2
  using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal Transformations
  for Multiple Regression and Correlation". Journal of the American Statistical Association.
  80:580-598. <doi:10.1080/01621459.1985.10478157>].
  Also included is the Additivity Variance Stabilization (AVAS) method which works better than ACE when
  correlation is low [see Tibshirani, R.. 1986. "Estimating Transformations for Regression via Additivity
  and Variance Stabilization". Journal of the American Statistical Association. 83:394-405. 
  <doi:10.1080/01621459.1988.10478610>]. A good introduction to these two methods is in chapter 16 of
  Frank Harrel's "Regression Modeling Strategies" in the Springer Series in Statistics.

ACE and AVAS for Selecting Multiple Regression Transformations