dplyr, tidyr (>= 1.0), tidyselect, stringr, purrr, tibble,
gtools, dfcrm, BOIN, ggplot2, DiagrammeR, RColorBrewer, viridis

dplyr, tidyr (>= 1.0), tidyselect, stringr, purrr, tibble,
gtools, dfcrm, BOIN, DiagrammeR, RColorBrewer, viridis

Methods for working with dose-finding clinical trials. We provide
implementations of many dose-finding clinical trial designs, including the
continual reassessment method (CRM) by O'Quigley et al. (1990)
<doi:10.2307/2531628>, the toxicity probability interval (TPI) design by Ji
et al. (2007) <doi:10.1177/1740774507079442>, the modified TPI (mTPI) design
by Ji et al. (2010) <doi:10.1177/1740774510382799>, the Bayesian optimal
interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, EffTox
by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the design of
Wages & Tait (2015) <doi:10.1080/10543406.2014.920873>, and the 3+3
described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. All designs
are implemented with a common interface. We also offer optional additional
classes to tailor the behaviour of all designs, including avoiding skipping
doses, stopping after n patients have been treated at the recommended dose,
stopping when a toxicity condition is met, or demanding that n patients are
treated before stopping is allowed. By daisy-chaining together these classes
using the pipe operator from 'magrittr', it is simple to tailor the
behaviour of a dose-finding design so it behaves how the trialist wants.
Having provided a flexible interface for specifying designs, we then provide
functions to run simulations and calculate dose-paths for future cohorts of
patients.
dplyr, tidyr (>= 1.0), tidyselect, stringr, purrr, tibble,
gtools, dfcrm, BOIN, trialr (>= 0.1.5), DiagrammeR,
RColorBrewer, viridis, binom

clim.pact, cyclones, akima, ncdf, sgeostat, fields, spam, R
(>= 2.2.0)
functions for post-processing and gridding
empirical-statistical downscaled climate scenarios.

c(
person("Michael", "Dietze", role = c("cre", "aut", "trl"), email = "mdietze@gfz-potsdam.de"),
person("Christoph", "Burow", role = c("ctb")),
person("Sophie", "Lagarde", role = c("ctb", "trl")))
Environmental seismology is a scientific field that studies the
seismic signals, emitted by Earth surface processes. This package
provides all relevant functions to read/write seismic data files, prepare,
analyse and visualise seismic data, and generate reports of the processing
history.
sp, multitaper, raster, rgdal, caTools, signal, fftw,
matrixStats, methods, IRISSeismic, XML, rmarkdown, Rcpp (>=
0.12.5)
Michael Dietze [cre, aut, trl],
Christoph Burow [ctb],
Sophie Lagarde [ctb, trl]