Title: Time-of-flight mass spectra signal processing
Author: Dariya Malyarenko, Maureen Tracy and William Cooke
Description: rTOFsPRO provides functions for signal processing of the
linear TOF spectra to produce aligned peak intensity matrix
Packaged: 2010-07-28 17:19:00 UTC; Maureen Tracy

Packaged: 2010-08-18 16:08:40 UTC; Maureen Tracy

Packaged: 2011-02-22 01:38:20 UTC; Maureen Tracy

Packaged: 2011-04-04 18:02:41 UTC; Maureen Tracy

person("Shulan", "Sun", email = "sslhhxx@163.com", role = c("aut", "cre")),
person("Wenhua", "Xiang", email = "xiangwh2005@163.com", role = c("aut"))
Description: A carbon-water coupled model (TRIPLEX-CW-Flux) is based on two well-established models, TRIPLEX-Flux model and Penman–Monteith model, integrates soil water and water vapor pressure deficits into the stomatal conductance submodule to estimate net ecosystem production and evapotranspiration in forest ecosystems.<https://github.com/ShulanSun/rTRIPLEX_CW_Flux>.

person("Wenhua", "Xiang", email = "xiangwh2005@163.com", role = c("aut")),
person("Shuai", "Ouyang", email = "yangshuai8613@163.com", role = c("aut")),
person("Xiaolu", "Zhou", email = "zhoux1977@163.com", role = c("aut")),
person("Changhui", "Peng", email = "cpeng86@yahoo.com", role = c("aut"))
Description: A carbon-water coupled model (TRIPLEX-CW-Flux) is based on two well-established models, TRIPLEX-Flux model and Penman–Monteith model, integrates soil water and water vapor pressure deficits into the stomata conductance submodule to estimate net ecosystem production and evapotranspiration in forest ecosystems.<https://github.com/ShulanSun/rTRIPLEX_CW_Flux>.

Title: Advanced and Parallel Random Number Generation via 'TRNG'
c(person("Riccardo", "Porreca", role = c("aut", "cre"),
person("Roland", "Schmid", role = "aut",
person("Mirai Solutions GmbH", role = "cph",
person("Heiko", "Bauke", role = c("ctb", "cph"),
Description: Embeds sources and headers from Tina's Random
Number Generator ('TRNG') C++ library. Exposes some functionality for
easier access, testing and benchmarking into R. Provides examples of
how to use parallel RNG with 'RcppParallel'. The methods and
techniques behind 'TRNG' are illustrated in the package vignettes and
examples. Full documentation is available in Bauke (2018)
Imports: methods, Rcpp (>= 0.11.6), RcppParallel
Suggests: covr, knitr, R.rsp, rmarkdown, testthat (>= 2.0.0)
Collate: 'LdFlags.R' 'RcppExports.R' 'TRNG.Engine.R' 'TRNG.Random.R'
Heiko Bauke [ctb, cph] (TRNG sources and headers)