c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"),
person("Russell", "Zaretzki", role = "aut"),
person("William", "Howell", role = "aut"),
person("Cedric", "Landerer", role = "aut"),
person("Drew", "Schmidt", role = "aut"),
person("Michael A.", "Gilchrist", role = "aut"),
person("Preston", "Hewgley", role = "ctb"),
person("Students", "REU13", role = "ctb"))
R(>= 3.0.0), methods, coda, foreach, parallel, stats,
graphics, utils
Wei-Chen Chen [aut, cre],
Russell Zaretzki [aut],
William Howell [aut],
Cedric Landerer [aut],
Drew Schmidt [aut],
Michael A. Gilchrist [aut],
Preston Hewgley [ctb],
Students REU13 [ctb]

Estimating mutation and selection coefficients on synonymous
codon bias usage based on models of ribosome overhead cost (ROC).
Multinomial logistic regression and Markov Chain Monte Carlo are used to
estimate and predict protein production rates with/without the presence
of expressions and measurement errors. Work flows with examples for
simulation, estimation and prediction processes are also provided
with parallelization speedup. The whole framework is tested with
yeast genome and gene expression data of Yassour, et al. (2009)
<doi:10.1073/pnas.0812841106>.

c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"),
person("Russell", "Zaretzki", role = "aut", email = "rzaretzk@utk.edu"),
person("William", "Howell", role = "aut"),
person("Cedric", "Landerer", role = "aut"),
person("Drew", "Schmidt", role = "aut"),
person("Michael A.", "Gilchrist", role = "aut", email = "mikeg@utk.edu"),
person("Preston", "Hewgley", role = "ctb"),
person("Students", "REU13", role = "ctb"))
R(>= 4.0.0), methods, coda, foreach, parallel, stats,
graphics, utils

Computation of a Cubic B-Spline Basis and Its Derivatives
person(given = "Philippe",
family = "Lambert",
role = c("aut", "cre"),
email = "p.lambert@uliege.be",
comment = "Université de Liège / Université catholique de Louvain (Belgium)")
Computation of a cubic B-spline basis for arbitrary knots. It also provides the 1st and 2nd derivatives, as well as the integral of the basis elements. It is used by the author to fit penalized B-spline models, see e.g. Jullion, A. and Lambert, P. (2006) <doi:10.1016/j.csda.2006.09.027>,  Lambert, P. and  Eilers, P.H.C. (2009) <doi:10.1016/j.csda.2008.11.022> and, more recently, Lambert, P. (2021) <doi:10.1016/j.csda.2021.107250>. It is inspired by the algorithm developed by de Boor, C. (1977) <doi:10.1137/0714026>.
Philippe Lambert [aut, cre] (Université de Liège / Université
catholique de Louvain (Belgium))