Asymptotic simultaneous confidence intervals for
comparison of many treatments with one control, for the
difference of binomial proportions, allows for
Dunnett-like-adjustment, Bonferroni or unadjusted intervals.
Simulation of power of the above interval methods, approximate
calculation of any-pair-power, and sample size iteration based
on approximate any-pair power.  Exact conditional maximum test
for many-to-one comparisons to a control.

Asymptotic simultaneous confidence intervals for comparison of many treatments with one control,
for the difference of binomial proportions, allows for Dunnett-like-adjustment, Bonferroni or unadjusted intervals.
Simulation of power of the above interval methods, approximate calculation of any-pair-power, and sample size
iteration based on approximate any-pair power. Exact conditional maximum test for many-to-one comparisons to a control.

c(
person('Gergely', 'Daróczi', email = 'daroczig@rapporter.net', role = c('aut', 'cre')),
person('David', 'Andel', email = 'andel@bli.uzh.ch', role = 'aut'))
R client to the 'Binance' Public Rest API for data collection on cryptocurrencies, portfolio management and trading: <https://github.com/binance/binance-spot-api-docs/blob/master/rest-api.md>.
data.table, httr, digest, snakecase, logger, jsonlite
Gergely Daróczi [aut, cre],
David Andel [aut]

Fit and Predict a Gaussian Process Model with (Time-Series)
Binary Response
Allows the estimation and prediction for binary Gaussian process model. The mean function can be assumed to have time-series structure. The estimation methods for the unknown parameters are based on penalized quasi-likelihood/penalized quasi-partial likelihood and restricted maximum likelihood. The predicted probability and its confidence interval are computed by Metropolis-Hastings algorithm. More details can be seen in Sung et al (2017) <arXiv:1705.02511>.

Convert to binary numbers (Base2). Shift, rotate, summary. Based on logical vector.

Provides the binary S3 class. The instance of binary is used to convert a decimal number (Base10) to a binary number (Base2). The Class provides some features e.G. shift(), rotate(), summary(). Based on logical vectors.
c(
person("Daniel", "Dörrhöfer", email = "ddo@openmailbox.org", role = c("aut", "cre")),
person("Aaron", "Rudkin", email = "rudkin@ucla.edu", role = "ctb")
)
Daniel Dörrhöfer [aut, cre],
Aaron Rudkin [ctb]