z
): in this
case, x
and z
must be of the same length.diversi.gof(x, null = "exponential", z = NULL)
"exponential"
, or "user"
.null = "user"
; gives the expected distribution
under the model.The distributions of both test statistics depend on the null hypothesis, and on whether or not some parameters were estimated from the data. However, these distributions are not known precisely and critical values were determined by Stephens (1974) using simulations. These critical values were used for the present function.
Stephens, M. A. (1974) EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69, 730--737.
branching.times
, diversi.time
ltt.plot
, birthdeath
, yule
,
yule.cov