score_test  R Documentation 
Pvalues and confidence intervals for parameters in linear transformation models obtained from by the score test principle
score_test(object, ...)
## S3 method for class 'tram'
score_test(object, parm = names(coef(object)),
alternative = c("two.sided", "less", "greater"), nullvalue = 0,
confint = TRUE, level = .95, Taylor = FALSE, maxsteps = 25, ...)
object 
an object of class 
parm 
a vector of names of parameters to be tested.
These parameters must be present in 
alternative 
a character string specifying the alternative hypothesis,
must be one of 
nullvalue 
a number specifying an optional parameter used to form the null hypothesis. 
confint 
a logical indicating whether a confidence interval should be
computed. Score confidence intervals are computed by default. A
1st order Taylor approximation to the Score statistc is used with

level 
the confidence level. 
Taylor 
a logical requesting the use of a 1st order Taylor approximation when inverting the score statistic. 
maxsteps 
number of function evaluations when inverting the score statistic for computing confidence intervals. 
... 
additional arguments, currently ignored. 
Score tests and confidence intervals for the parameters in the linear
predictor of object
are computed. These parameters must be present
in object
.
An object of class htest
or a list thereof. See Coxph
for an example. A corresponding permutation test for parameters in a
transformation models is available in
perm_test
.
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