These functions are used by the Parametric Survival dialog.
menuSurvreg
calls
tabSummary.survreg if summary results are requested.
The function
menuSurvreg is depricated and has been replaced by
menuSurvReg
.
a formula object having a
Surv object as the response on the left of
a ~ operator, and the terms, separated by
+ operators, on the right.
fit
an object of class
survreg.
OPTIONAL ARGUMENTS:
data
an optional data frame in which to interpret the variables occurring in the
formula.
subset
an expression saying which subset of the rows of the data should be used
in the fit. This can be a logical vector (which is replicated to have
length equal to the number of observations), or a numeric vector indicating
which observation numbers are to be included, or a character vector of the
row names to be included. All observations are included by default.
na.omit.p
if
TRUE, then any observation with missing values are removed
from the analysis. If
FALSE and there are missing values then the
function will exit with a message that missing values are not allowed.
If
na.omit.p is
TRUE then
na.action is set to
na.omit in the
call to
survreg. If
na.omit.p is
FALSE then
na.action is set
to
na.fail in the call to
survreg.
link
transformation to be used on the y variable.
dist
assumed distribution for the transformed y variable.
fixed
a list of fixed parameters, most often just the scale.
eps
convergence threshold. Iteration will continue until the relative change
in deviance is less than
eps.
init
vector of initial values of the iteration.
iter.max
maximum number of iterations to perform.
print.short
if
TRUE, a short summary of the parametric survival model is printed.
This output is from the function
print.survreg.
print.long
if
TRUE, a long summary of the parametric survival model is printed.
This output is from the function
summary.survreg.
save.name
a character string for the name of the data frame to save the predictions
and standard errors in. If a data frame with this name already exists in
database 1 and it has the appropriate number of rows then the saved values
will be appended to the data frame. If the object already exist in
database 1 and it is not a data frame or it does not have the appropriate
number of rows then a new name is created by appending a number to
save.name and the results are saved in the data frame with the new name.
save.fit.p
if
TRUE, fitted values from the regression are saved in the data frame
save.name.
save.resid.deviance.p
if
TRUE, the deviance residuals are saved in the data frame
save.name.
The sum of squares of these add up to the deviance.
save.resid.pearson.p
if
TRUE, the pearson residuals are saved in the data frame
save.name.
These are standardized residuals on the scale of the response.
save.resid.working.p
if
TRUE, the working residuals from the model are saved in the
data frame
save.name. These are the residuals from the final IRLS fit.
save.resid.matrix.p
if
TRUE, the matrix residuals from the model are saved in the
data frame
save.name. The maxtrix residuals are based on the derivatives
of the log-likelihood function. See the
residuals.survreg help file
for details.
VALUE:
an object of class
survreg. See the
survreg.object help file for details.
SIDE EFFECTS:
The object
save.name will be created or appended to if fitted values
or residuals are saved.