Functions for implementing different versions of the OSCV method in the kernel regression and density estimation frameworks. The package mainly supports the following articles: (1) Savchuk, O.Y., Hart, J.D. (2017). Fully robust one-sided cross-validation for regression functions. Computational Statistics, <doi:10.1007/s00180-017-0713-7> and (2) Savchuk, O.Y. (2017). One-sided cross-validation for nonsmooth density functions, <arXiv:1703.05157>.

Finds an Optimal System of Distinct Representatives
person("Massimo", "Cannas", role = c("aut", "cre"),
email = "massimo.cannas@unica.it")
Provides routines for finding an Optimal System of Distinct Representatives (OSDR), as defined by D.Gale (1968) <doi:10.1016/S0021-9800(68)80039-0>.

Provides routines for finding an Optimal System of Distinct Representatives (OSDR),
as defined by D.Gale (1968) <doi:10.1016/S0021-9800(68)80039-0>.

Signal Component Analysis for Optically Stimulated Luminescence
c(
person("Dirk", "Mittelstraß", email = "dirk.mittelstrass@luminescence.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9567-8791")),
person("Sebastian", "Kreutzer", role = c("aut"), comment = c(ORCID = "0000-0002-0734-2199")),
person("Christoph", "Schmidt", role = c("aut"), comment = c(ORCID = "0000-0002-2309-3209")),
person("Jan", "Beyer", role = c("ths"), comment = c(ORCID = "0000-0002-1403-395X")),
person("Johannes", "Heitmann", role = c("ths")),
person("Arno", "Straessner", role = c("ths"), comment = c(ORCID = "0000-0003-2460-6659")))
Function library for the identification and separation of exponentially
decaying signal components in continuous-wave optically stimulated luminescence measurements.
A special emphasis is laid on luminescence dating with quartz, which is known for
systematic errors due to signal components with unequal physical behaviour.
Also, this package enables an easy to use signal decomposition of
data sets imported and analysed with the R package 'Luminescence'.
This includes the optional automatic creation of HTML reports. Further information and tutorials
can be found at <https://luminescence.de>.
Luminescence (>= 0.9.9), methods, utils, stats, tools,
DEoptim, minpack.lm, gridExtra, ggplot2, scales, ggpubr,
rmarkdown
Dirk Mittelstraß [aut, cre] (<https://orcid.org/0000-0002-9567-8791>),
Sebastian Kreutzer [aut] (<https://orcid.org/0000-0002-0734-2199>),
Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>),
Jan Beyer [ths] (<https://orcid.org/0000-0002-1403-395X>),
Johannes Heitmann [ths],
Arno Straessner [ths] (<https://orcid.org/0000-0003-2460-6659>)