Integration of the 'units' and 'errors' packages for a complete quantity
calculus system for R vectors, matrices and arrays, with automatic propagation,
conversion, derivation and simplification of magnitudes and uncertainties.
tibble, pillar, dplyr, tidyr, testthat, knitr, rmarkdown

Integration of the 'units' and 'errors' packages for a complete
quantity calculus system for R vectors, matrices and arrays, with automatic
propagation, conversion, derivation and simplification of magnitudes and
uncertainties. Documentation about 'units' and 'errors' is provided in the
papers by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>) and
by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in
those packages as vignettes; see 'citation("quantities")' for details.

pillar, dplyr (>= 1.0.0), vctrs (>= 0.3.1), tidyr, testthat,
knitr, rmarkdown

Quantile Kriging for Stochastic Simulations with Replication
c(person(c("Kevin", "R."), "Quinlan", role = c("aut", "cre"),
email = "quinlan5@llnl.gov"),
person(c("Jim", "R."), "Leek", role = "aut"),
person("Lawrence Livermore National Security", role = "cph"))
Kevin R. Quinlan [aut, cre],
Jim R. Leek [aut],
Lawrence Livermore National Security [cph]
A re-implementation of quantile kriging. Quantile kriging was described by Plumlee and Tuo (2014) <doi:10.1080/00401706.2013.860919>.  With computational savings when dealing with replication from the recent paper by Binois, Gramacy, and Ludovski (2018) <doi:10.1080/10618600.2018.1458625> it is now possible to apply quantile kriging to a wider class of problems.  In addition to fitting the model, other useful tools are provided such as the ability to automatically perform leave-one-out cross validation.

Specify, build, trade, and analyse quantitative financial trading srategies

Specify, build, trade, and analyse quantitative financial
trading strategies

Defaults, xts(>= 0.7-0), zoo, TTR(>= 0.2), methods

Defaults, xts(>= 0.7-5), zoo, TTR(>= 0.2), methods

Specify, build, trade, and analyse quantitative financial trading strategies