This is a package for constructing hypothesis trees based on the closure principle and analysing
Closed Testing Procedures (CTP) using adjusted p-values. For reference, see
Marcus, R., Peritz, E, and Gabriel, K.R. (1976) <doi:10.2307/2335748> and
Bauer, P (1991) <doi:10.1002/sim.4780100609>.
c(
person("Paul", "Jordan", email = "paul.jordan@roche.com", role = c("aut", "cre")),
person("Herpers", "Matthias", role = "aut")
)
dplyr, magrittr, MASS, survival, shape, Gmisc, grid
Paul Jordan [aut, cre],
Herpers Matthias [aut]

This is a package for constructing hypothesis trees for treatment comparisons based
on the closure principle and analysing the corresponding Closed Testing Procedures (CTP)
using adjusted p-values. For reference, see
Marcus, R., Peritz, E, and Gabriel, K.R. (1976) <doi:10.2307/2335748> and
Bauer, P (1991) <doi:10.1002/sim.4780100609>.
c(
person("Paul", "Jordan", email = "paul.jordan@roche.com", role = c("aut", "cre")),
person("Matthias", "Herpers",  role = "aut")
)
Paul Jordan [aut, cre],
Matthias Herpers [aut]

c(
person("Katharina", "Hees", email = "hees@statistik.uni-dortmund.de",
role = "aut"),
person("Peter", "Straka", email = "p.straka@unsw.edu.au",
role = c("aut", "cre")))
Models extremes of 'bursty' time series via
Continuous Time Random Exceedances (CTRE).
See <arXiv:1802.05218>, K. Hees, S. Nayak, P.Straka, 2018.
assertthat, graphics, MittagLeffleR, plyr, stats, tea, utils,
zoo
Katharina Hees [aut],
Peter Straka [aut, cre]

Interactive Document for Working with Classification Tree
Analysis
An interactive document on  the topic of classification tree analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://kartikeyab.shinyapps.io/CTShiny/>.

A collection of common test and item analyses from a classical test theory (CTT) framework. Analyses can be applied to both dichotomous and polytomous data. Functions provide reliability analyses (alpha), item statistics, disctractor analyses, disattenuated correlations, scoring routines, and empirical ICCs.