CI from svyquantile in survey package

  I am having trouble understanding (i.e. getting) confidence intervals from
  the survey package. I am using R version 2.8.1 (2008-12-22) and survey
  package (3.11-2) on FC7 linux. To simplify my question I use an example from
  that package:
  R> data(api)
  R> dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)
  R>    (tst    <-    svyby(~api99,    ~stype,    dclus1,   svyquantile,
  quantiles=0.5,ci=TRUE))
    stype api99    se
  E     E   615 37.89
  H     H   593 69.52
  M     M   611 37.67
  R> str(tst)
  Classes ???svyby??? and 'data.frame':    3 obs. of  3 variables:
   $ stype: Factor w/ 3 levels "E","H","M": 1 2 3
   $ api99: num  615 593 611
   $ se   : num  37.9 69.5 37.7
   - attr(*, "svyby")=List of 7
    ..$ margins  : int 1
    ..$ nstats   : num 1
    ..$ vars     : int 1
    ..$ deffs    : logi FALSE
    ..$ statistic: chr "svyquantile"
    ..$ variables: chr "api99"
    ..$ vartype  : chr "se"
   -  attr(*,  "call")=  language  svyby.default(~api99, ~stype, dclus1,
  svyquantile, quantiles = 0.5,      ci = TRUE)
  R>
  I do not see the CI in this structure.  Specifically, this problem came up
  when  I  was  working  through an example where after a similar set up
  information was extracted using
  R> tst$statistics.quantiles
  NULL
  R> tst$statistics.CIs
  NULL
  where of course the NULLs I get are due, in my case,  to the absences of the
  $statistics.XXXs.   The example did not display the structure so I could not
  compare my output with their output. (The example warns that these objects
  need to be unlisted which is not relevant here)
  Thanks in advance for any help
  Ron
--
R. R. Burns
Oceanside, CA