Rdpack, knitr, methods, skellam, nloptr, furrr, future, dplyr,
rmarkdown, coda

Daniel G. Muenz, Ray Griner <rgriner@sdac.harvard.edu>, Huichao
Chen, Lijuan Deng, Sachiko Miyahara, and Scott R. Evans
<evans@sdac.harvard.edu>, with contributions from Lingling Li,
Hajime Uno, and Laura M. Smeaton.
Generate Predicted Interval Plots.  Simulate and plot
confidence intervals of an effect estimate given observed data
and a hypothesis about the distribution of future data.

Martin J. Wolfsegger <wolfseggerm@gmx.at> and Thomas Jaki <jaki_thomas@web.de>

Martin J. Wolfsegger <wolfseggerm@gmx.at> and Thomas Jaki <jaki.thomas@gmail.com>

Thomas Jaki <jaki.thomas@gmail.com>  and Martin J. Wolfsegger <wolfseggerm@gmx.at>
Estimation of pharmacokinetic parameters using non-compartmental theory

Thomas Jaki <jaki.thomas@gmail.com> and Martin J. Wolfsegger
<wolfseggerm@gmx.at>
Estimation of pharmacokinetic parameters using
non-compartmental theory

Helmut Schuetz and John-Philip Lawo for extensive
testing

Alexander Bauer, John-Philip Lawo and Helmut Schuetz
for extensive testing

Estimation of pharmacokinetic parameters using non-compartmental theory.

Public Key Infrastucture for R based on the X.509 standard
This package provides PKI functions such as verifyig
certificates, RSA encription and signing which can be used to
build PKI infrastructure and perform cryptographic tasks.

Public Key Infrastucture for R Based on the X.509 Standard
Public Key Infrastucture functions such as verifying certificates, RSA encription and signing which can be used to build PKI infrastructure and perform cryptographic tasks.
OpenSSL library and headers (openssl-dev or
similar)

PKI functions such as verifying certificates, RSA encription and signing which can be used to build PKI infrastructure and perform cryptographic tasks.

Implementation of a KL-based test for MCAR in the context of missing data as introduced in Michel et al. (2021)  <arXiv:2109.10150>.

c(person(given = "Meta-Lina",
family = "Spohn",
role = c("aut", "cre"),
email = "metalina.spohn@stat.math.ethz.ch"),
person(given = "Loris",
family = "Michel",
role = "aut"),
person(given = "Jeffrey",
family = "Naef",
role = "aut"))
Implementation of a KL-based (Kullback-Leibler) test for MCAR (Missing Completely At Random) in the context of missing data as introduced in Michel et al. (2021)  <arXiv:2109.10150>.
Meta-Lina Spohn [aut, cre],
Loris Michel [aut],
Jeffrey Naef [aut]