Provides functions to perform arm-based network meta-analysis for datasets with binary and continuous outcomes.

Provides functions to perform arm-based network meta-analysis for datasets with binary, continuous, and count outcomes.

Performs arm-based network meta-analysis for datasets with binary, continuous, and count outcomes using the Bayesian methods of Zhang et al (2014) <doi:10.1177/1740774513498322> and Lin et al (2017) <doi:10.18637/jss.v080.i05>.

c(person(given = "Lifeng", family = "Lin",
role = c("aut", "cre"), email = "linl@stat.fsu.edu",
comment = c(ORCID = "0000-0002-3562-9816")),
person(given = "Jing", family = "Zhang", role = c("aut")),
person(given = "Haitao", family = "Chu",
role = c("aut"), email = "chux0051@umn.edu",
comment = c(ORCID = "0000-0003-0932-598X")))
Performs Bayesian arm-based network meta-analysis for datasets with binary, continuous, and count outcomes
(Zhang et al., 2014 <doi:10.1177/1740774513498322>;
Lin et al., 2017 <doi:10.18637/jss.v080.i05>).
Lifeng Lin [aut, cre] (<https://orcid.org/0000-0002-3562-9816>),
Jing Zhang [aut],
Haitao Chu [aut] (<https://orcid.org/0000-0003-0932-598X>)

c(person(given = "Lifeng", family = "Lin",
role = c("aut", "cre"), email = "lifenglin@arizona.edu",
comment = c(ORCID = "0000-0002-3562-9816")),
person(given = "Jing", family = "Zhang", role = c("aut")),
person(given = "Haitao", family = "Chu",
role = c("aut"), email = "chux0051@umn.edu",
comment = c(ORCID = "0000-0003-0932-598X")))

Computation of the Pedroni (1999) panel cointegration test statistics.  Reported are the empirical and the standardized values.

Penalized Cox Proportional Hazard Model for Time-Dependent
Covariates
c(person("Bicko","Cygu", role=c("aut","cre"),
email="cygubicko@gmail.com",
comment=c(ORCID = "0000-0002-9284-8863")),
person("Ben","Bolker",role="aut",
comment=c(ORCID="0000-0002-2127-0443")))
Fits penalized models for both time-independent and time-dependent survival data. It fully implements elastic net and uses proximal gradient descent to solve the optimization problem. The package is an implementation of Steve Cygu and Benjamin M. Bolker. (2021) <arXiv:2102.02297>.
Rcpp (>= 1.0.5), survival, doParallel, parallel, foreach,
ggplot2, prodlim, riskRegression, PermAlgo, pec