- The distribution argument now takes the return values of functions
exact(), approximate() or asymptotic() as well. Those functions
can be used to specify parameters, such as the number of Monte
Carlo replications via ..., distribution = approximate(B = 9999),
....
- show() returns objects (of class "htest", for example) invisibly.
- expectation() returns a vector, not a matrix.
- New generic variance() for extracting the variance(s) of linear
statistics.
- Only variances (instead of the whole covariance matrix) is computed
when the distribution of maximum-type test statistics is to be
_approximated_.
- data may be an object of class "exprSet" (-> Biobase), the vignette
has an example.
- logrank_trafo() (and surv_test()) now have a ties.method argument,
see ?surv_test for more information.