Quantifies how balanced a phylogenetic tree is, using the Total Cophenetic Index
- per A. Mir, F. Rossello, L. A. Rotger (2013), A new balance index for phylogenetic trees.
Math. Biosci. 241, 125-136 <DOI:10.1016/j.mbs.2012.10.005>.

Total Cophenetic Index: An R Package to Quantify Tree Balance
For a given phylogenetic tree, calculates the Total Cophenetic Index.
Reference - A. Mir, F. Rossello, L. A. Rotger, A new balance index for phylogenetic trees.
Math. Biosci. 241, 125-136 (2013).

c(person("Martin R.", 'Smith',
email="martin.smith@durham.ac.uk",
role=c("aut", "cre", "cph"),
comment=c(ORCID = "0000-0001-5660-1727"))
)
For a given phylogenetic tree, calculates the Total Cophenetic Index.
Reference: A. Mir, F. Rossello, L. A. Rotger (2013).
A new balance index for phylogenetic trees.
Math. Biosci. 241, 125-136 <doi:10.1016/j.mbs.2012.10.005>.

Quantify the Balance of Phylogenetic Trees
Measures the degree of balance for a given phylogenetic tree by
calculating the Total Cophenetic Index.
Reference: A. Mir, F. Rossello, L. A. Rotger (2013).
A new balance index for phylogenetic trees.
Math. Biosci. 241, 125-136 <doi:10.1016/j.mbs.2012.10.005>.

person("Tobias", "Wolfanger", email = "tobias.wolfanger@gmx.de", role = c("aut","cre"))
Contains two functions related to sports competitions. One to create league tables and one to create a match schedule.

Calculates Safety Stopping Boundaries for a Single-Arm Trial
using Bayes
c(person("NCT Trial Center, Heidelberg",
email="studienzentrale@nct-heidelberg.de",
role="aut"),
person("Lisa-Marie Lanz",
email="studienzentrale@nct-heidelberg.de",
role="cre"))
NCT Trial Center, Heidelberg [aut],
Lisa-Marie Lanz [cre]
Computation of stopping boundaries for a single-arm trial using a
Bayesian criterion; i.e., for each m<=n (n= total patient number of the
trial) the smallest number of observed toxicities is calculated
leading to the termination of the trial/accrual according to the specified
criteria. The probabilities of stopping the trial/accrual at and up until
(resp.) the m-th patient (m<=n) is also calculated. This design is more
conservative than the frequentist approach (using Clopper Pearson CIs)
which might be preferred as it concerns safety.See also Aamot et.al.(2010)
"Continuous monitoring of toxicity in clinical trials - simulating the risk
of stopping prematurely" <doi:10.5414/cpp48476>.