Parametric Survival Model
Fits the accelerated failure time family of parametric survival models.
SurvRegModel(
dist = c("weibull", "exponential", "gaussian", "logistic", "lognormal",
"logloglogistic"),
scale = NULL,
parms = NULL,
...
)
SurvRegStepAICModel(
dist = c("weibull", "exponential", "gaussian", "logistic", "lognormal",
"logloglogistic"),
scale = NULL,
parms = NULL,
...,
direction = c("both", "backward", "forward"),
scope = NULL,
k = 2,
trace = FALSE,
steps = 1000
)dist |
assumed distribution for y variable. |
scale |
optional fixed value for the scale. |
parms |
list of fixed parameters. |
... |
arguments passed to |
direction |
mode of stepwise search, can be one of |
scope |
defines the range of models examined in the stepwise search.
This should be a list containing components |
k |
multiple of the number of degrees of freedom used for the penalty.
Only |
trace |
if positive, information is printed during the running of
|
steps |
maximum number of steps to be considered. |
Surv
Default values for the NULL arguments and further model details can be
found in the source link below.
MLModel class object.
## Requires prior installation of suggested packages rms and Hmisc to run library(survival) fit(Surv(time, status) ~ ., data = veteran, model = SurvRegModel)
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