Description: Performs maximum likelihood based estimation and inference on time to event data, possibly subject to non-informative right censoring. FitParaSurv() provides maximum likelihood estimates of model parameters and distributional characteristics, including the mean, median, variance, and restricted mean. CompParaSurv() compares the mean, median, and restricted mean survival experiences of two treatment groups. Candidate distributions include the exponential, gamma, generalized gamma, log-normal, and Weibull.
Imports: dplyr, expint, methods, numDeriv, stats, tidyr

Title: Compute and Display Tendril Plots
person("Martin", "Karpefors", email = "martin.karpefors@astrazeneca.com", role = "aut"),
person("Stefano", "Borini", email = "stefano.borini@astrazeneca.com", role = c("ctb", "cre")),
person("Mark", "Edmondson-Jones", email = "mark.edmondson-jones@astrazeneca.com", role = "ctb"),
person("Hielke", "Bijlsma", email = "Hielke.Bijlsma@tessella.com", role = "ctb"))
Description: Compute the coordinates to produce a tendril plot.
In the tendril plot, each tendril (branch) represents a type of events,
and the direction of the tendril is dictated by on which treatment arm the
event is occurring. If an event is occurring on the first of the two
specified treatment arms, the tendril bends in a clockwise direction.
If an event is occurring on the second of the treatment arms, the
tendril bends in an anti-clockwise direction.
Ref: Karpefors, M and Weatherall, J., "The Tendril Plot - a novel visual summary
of the incidence, significance and temporal aspects of adverse events in
Imports: ggplot2, dplyr, plyr, reshape2, magrittr, scales, graphics,

Description: Performs model-based tensor clustering methods including Tensor Gaussian Mixture Model (TGMM) and Tensor Envelope Mixture Model (TEMM) by Deng and Zhang (2021, tentatively accepted by Biometrics), Doubly-Enhanced EM (DEEM) algorithm by Mai, Zhang, Pan and Deng (2021) <arXiv:2012.10032>.
Imports: MASS, tensr, rTensor, TRES, abind, combinat, pracma, stats,