This package features both rank-based estimates and least
square estimates to the Accelerated Failure Time (AFT) model.
For rank-based estimation, it provides approaches that include
the computatonally efficent Gehan's weight and the general's
weight such as the logrank weight. For the least square
estimation, the estimating equation is solved with Generalized
Estimating Equations (GEE). Moreover, in multivariate cases,
the dependence working correlation strcture can be specified in
GEE's setting.

Sy Han (Steven) Chiou <schiou@d.umn.edu>
This package features both rank-based estimates and least square estimates to the Accelerated Failure Time (AFT) model.
For rank-based estimation, it provides approaches that include the computationally efficient Gehan's weight and the general's weight such as the logrank weight.
For the least square estimation, the estimating equation is solved with Generalized Estimating Equations (GEE).
Moreover, in multivariate cases, the dependence working correlation structure can be specified in GEE's setting.

This package features both rank-based estimates and least
square estimates to the Accelerated Failure Time (AFT) model.
For rank-based estimation, it provides approaches that include
the computationally efficient Gehan's weight and the general's
weight such as the logrank weight.
For the least square estimation, the estimating equation is
solved  with Generalized Estimating Equations (GEE).
Moreover, in multivariate cases, the dependence working
correlation structure can be specified in GEE's setting.

Sy Han (Steven) Chiou  <schiou@d.umn.edu>

Sy Han (Steven) Chiou  <schiou@utdallas.edu>
A collection of methods for both the rank-based estimates and least
square estimates to the Accelerated Failure Time (AFT) model.
For rank-based estimation, it provides approaches that include
the computationally efficient Gehan's weight and the general's
weight such as the logrank weight.
Details of the rank-based estimation can be found in
Chiou et al. (2014) <doi:10.1007/s11222-013-9388-2> and
Chiou et al. (2015) <doi:10.1002/sim.6415>.
For the least-square estimation, the estimating equation is
solved with Generalized Estimating Equations (GEE).
Moreover, in multivariate cases, the dependence working
correlation structure can be specified in GEE's setting.
Details on the least-squares estimation can be found in
Chiou et al. (2014) <doi:10.1007/s10985-014-9292-x>.
MASS, BB, survival, geepack, parallel, methods