Functions fitting time-varying coefficient models for interval
censored and right censored survival data. Three major approaches are
implemented: 1) Bayesian Cox model with time-independent, time-varying or
dynamic coefficients for right censored and interval censored data; 2)
Spline based time-varying coefficient Cox model for right censored data; 3)
Transformation model with time-varying coefficients for right censored data
using estimating equations.
ggplot2, grDevices, grid, nleqslv, plyr, reshape, stats,
survival, utils

c(
person(given = "Wenjie", family = "Wang",
email = "wenjie.2.wang@uconn.edu",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-0363-3180")),
person(given = "Ming-Hui", family = "Chen", role = "aut"),
person(given = "Xiaojing", family = "Wang", role = "aut"),
person(given = "Jun", family = "Yan", role = "aut",
comment = c(ORCID = "0000-0003-4401-7296")
)
)
Time-varying coefficient models for interval censored and
right censored survival data including
1) Bayesian Cox model with time-independent, time-varying or
dynamic coefficients for right censored and interval censored data studied by
Sinha et al. (1999) <doi:10.1111/j.0006-341X.1999.00585.x> and
Wang et al. (2013) <doi:10.1007/s10985-013-9246-8>,
2) Spline based time-varying coefficient Cox model for right censored data
proposed by Perperoglou et al. (2006) <doi:10.1016/j.cmpb.2005.11.006>, and
3) Transformation model with time-varying coefficients for right censored data
using estimating equations proposed by
Peng and Huang (2007) <doi:10.1093/biomet/asm058>.
Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>),
Ming-Hui Chen [aut],
Xiaojing Wang [aut],
Jun Yan [aut] (<https://orcid.org/0000-0003-4401-7296>)

c(
person(given = "Wenjie", family = "Wang",
email = "wang@wwenjie.org",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-0363-3180")),
person(given = "Ming-Hui", family = "Chen", role = "aut"),
person(given = "Xiaojing", family = "Wang", role = "aut"),
person(given = "Jun", family = "Yan", role = "aut",
comment = c(ORCID = "0000-0003-4401-7296"))
)
data.table (>= 1.9.8), ggplot2, grDevices, grid, nleqslv,
splines2, stats, survival