initiate.startValues_AFT {SemiCompRisks} | R Documentation |
The function that initiates starting values for a single chain.
Description
The function initiates starting values for a single chain for accelrated failture time (AFT) models. Users are allowed to set some non-null values to starting values for a set of parameters. The function will automatically generate starting values for any parameters whose values are not specified.
Usage
initiate.startValues_AFT(Formula, data, model, nChain=1,
beta1=NULL, beta2=NULL, beta3=NULL, beta=NULL,
gamma=NULL, theta=NULL,
y1=NULL, y2=NULL, y=NULL,
LN.mu=NULL, LN.sigSq=NULL,
DPM.class1=NULL, DPM.class2=NULL, DPM.class3=NULL,
DPM.class=NULL, DPM.mu1=NULL, DPM.mu2=NULL,
DPM.mu3=NULL, DPM.mu=NULL, DPM.zeta1=NULL,
DPM.zeta2=NULL, DPM.zeta3=NULL, DPM.zeta=NULL,
DPM.tau=NULL)
Arguments
Formula |
For |
data |
a data.frame in which to interpret the variables named in the formula(s) in |
model |
a character vector that specifies the type of components in a model. Check |
nChain |
The number of chains. |
beta1 |
starting values of |
beta2 |
starting values of |
beta3 |
starting values of |
beta |
starting values of |
gamma |
starting values of |
theta |
starting values of |
y1 |
starting values of |
y2 |
starting values of |
y |
starting values of |
LN.mu |
starting values of |
LN.sigSq |
starting values of |
DPM.class1 |
starting values of the class membership for transition 1 in DPM models for |
DPM.class2 |
starting values of the class membership for transition 2 in DPM models for |
DPM.class3 |
starting values of the class membership for transition 3 in DPM models for |
DPM.class |
starting values of the class membership in DPM models for |
DPM.mu1 |
starting values of |
DPM.mu2 |
starting values of |
DPM.mu3 |
starting values of |
DPM.mu |
starting values of |
DPM.zeta1 |
starting values of |
DPM.zeta2 |
starting values of |
DPM.zeta3 |
starting values of |
DPM.zeta |
starting values of |
DPM.tau |
starting values of |
Value
initiate.startValues_AFT
returns a list containing starting values for a sigle chain that can be used for BayesID_AFT
and BayesSurv_AFT
.
Author(s)
Sebastien Haneuse and Kyu Ha Lee
Maintainer: Kyu Ha Lee <klee15239@gmail.com>
References
Lee, K. H., Rondeau, V., and Haneuse, S. (2017),
Accelerated failure time models for semicompeting risks data in the presence of complex censoring, Biometrics, 73, 4, 1401-1412.
Alvares, D., Haneuse, S., Lee, C., Lee, K. H. (2019),
SemiCompRisks: An R package for the analysis of independent and cluster-correlated semi-competing risks data, The R Journal, 11, 1, 376-400.
See Also
Examples
## See Examples in \code{\link{BayesID_AFT}} and \code{\link{BayesSurv_AFT}}.