c(person("Jingjing", "Lyu", role = "aut", email="lyu.j@foxmail.com"), person("Zheng", "Chen", role = "cre", email="zchen@smu.edu.cn"), person("Huimin", "Li", role = "ctb"), person("Jinbao", "Chen", role = "ctb"), person("Xinghui", "Huang", role = "ctb"))
Jingjing Lyu [aut],
Zheng Chen [cre],
Huimin Li [ctb],
Jinbao Chen [ctb],
Xinghui Huang [ctb]

c(person("Jingjing", "Lyu", role = "aut", email="lyuj@hust.edu.cn"), person("Zheng", "Chen", role = "cre", email="zheng-chen@hotmail.com"), person("Huimin", "Li", role = "ctb"), person("Jinbao", "Chen", role = "ctb"), person("Xinghui", "Huang", role = "ctb"))
Various statistical methods for survival analysis in comparing survival curves between two groups, including overall hypothesis tests described in Li et al. (2015) <doi:10.1371/journal.pone.0116774> and Huang et al. (2020) <doi:10.1080/03610918.2020.1753075>, fixed-point tests in Klein et al. (2007) <doi:10.1002/sim.2864>, short-term tests, and long-term tests in Logan et al. (2008) <doi:10.1111/j.1541-0420.2007.00975.x>. Some commonly used descriptive statistics and plots are also included.

The Semi-Parametric Cumulative Incidence Function
Computing the point estimator and pointwise confidence interval of the cumulative incidence function from the cause-specific hazards model.
survival, MASS, wesanderson, reshape2, stats, graphics,
methods, Matrix

Competing Risk Model with Frailties for Right Censored Survival Data
The package offers a fitting of smooth varying coefficients
in a competing risks modelling of hazards as well as estimating of the frailties (or unobserved heterogenities)
for clustered observations. Nonparametric penalized spline (p-spline)
fitting of smooth covariates effects is proposed. As a spline basis truncated polynomial functions are chosen.
The frailties are also fitted (via the EM-algoritghm) in a flexible way using a penalizied mixture of gamma distributions.

Compind package contains several functions to enhance approaches
to the Composite Indicators
(http://stats.oecd.org/glossary/detail.asp?ID=6278},
https://composite-indicators.jrc.ec.europa.eu/) methods, focusing, in
particular, on the normalisation and weighting-aggregation steps.
Hmisc, MASS, GPArotation, lpSolve, nonparaeff