c(person("Marcus", "Gross",
role = c("aut", "cre"), email = "marcus.gross@inwt-statistics.de"),
person("Kerstin", "Erfurth", role = "ctb",
email = "keri.erfurth@gmail.com"))
Marcus Gross [aut, cre],
Kerstin Erfurth [ctb]
In self-reported or anonymised data the user often encounters
heaped data, i.e. data which are rounded (to a possibly different degree
of coarseness). While this is mostly a minor problem in parametric density
estimation the bias can be very large for non-parametric methods such as kernel
density estimation. This package implements a partly Bayesian algorithm treating
the true unknown values as additional parameters and estimates the rounding
parameters to give a corrected kernel density estimate. It supports various
standard bandwidth selection methods. Varying rounding probabilities (depending
on the true value) and asymmetric rounding is estimable as well: Gross, M. and Rendtel, U. (2016) (<doi:10.1093/jssam/smw011>).
Additionally, bivariate non-parametric density estimation for rounded data, Gross, M. et al. (2016) (<doi:10.1111/rssa.12179>),
as well as data aggregated on areas is supported.

sp, plyr, fastmatch, fitdistrplus, GB2, magrittr, mvtnorm

c(person("Marcus", "Gross",
role = c("aut", "cre"), email = "marcus.gross@inwt-statistics.de"),
person("Lukas", "Fuchs", role = "aut",
email = "f.lukas@live.de"),
person("Kerstin", "Erfurth", role = "ctb",
email = "keri.erfurth@gmail.com"))
sp, plyr, dplyr, fastmatch, fitdistrplus, GB2, magrittr,
mvtnorm
Marcus Gross [aut, cre],
Lukas Fuchs [aut],
Kerstin Erfurth [ctb]

Bayesian Designs for Early Phase Clinical Trials
We developed a package 'Keyboard' for designing single-agent, drug-combination, or phase I/II dose-finding clinical trials. The 'Keyboard' designs are novel early phase trial designs that can be implemented simply and transparently, similar to the 3+3 design, but yield excellent performance, comparable to those of more-complicated, model-based designs (Yan F, Mandrekar SJ, Yuan Y (2017) <doi:10.1158/1078-0432.CCR-17-0220>, Li DH, Whitmore JB, Guo W, Ji Y. (2017) <doi:10.1158/1078-0432.CCR-16-1125>,  Liu S, Johnson VE (2016) <doi:10.1093/biostatistics/kxv040>, Zhou Y, Lee JJ, Yuan Y (2019) <doi:10.1002/sim.8475>, Pan H, Lin R, Yuan Y (2020) <doi:10.1016/j.cct.2020.105972). The 'Keyboard' package provides tools for designing, conducting, and analyzing single-agent, drug-combination, and phase I/II dose-finding clinical trials.