2.8-1   Make Deff estimates work with ftable. (for Gillian Raab)

      ftable.svyby didn't work with a single by() variable (for Gillian Raab)

      Missing values now allowed in svychisq(). (for Lee Siewersda)

2.8   fix printing of svyby broken in 2.7

      add ftable.svyby

      postStratify for svydesign surveys.

2.7-1 as.svrepdesign was giving the wrong weights for type="Fay" in 2.7

2.7   Option compress=TRUE in as.svrepdesign to reduce size 
      of replicate weight matrix (and in rake(), postStratify()). Also
      function compressWeights() to do this to arbitrary replicate designs.

      terms() reorders variables in interactions, which confused regTermTest
      (Daniel Almirall)

      Added extractor function SE() for standard errors (Andrew Robinson)

      hadamard() now finds smaller Hadamard matrices.

      svyCprod warns if a subset has only one PSU in some stratum (Gillian Raab)
      
      Added tests/lonely.psu.R

      Added another option "average" for lonely.psu (Gillian Raab)

      svydesign can now detect from sampling weights or fpc when a stratum
      with a single PSU is self-representing, and in these cases 
      options("survey.lonely.psu") is not used.

      ftable.svystat and ftable.svrepstat to produce better tables of
      percentages and totals.

      Experimental set of functions to help in computing non-response weights 
      (see ?nonresponse for details)

2.6-2 Better handling of NAs in svyby
 
      Subsetting didn't work right for single-observation subsets.

      svyglm and svycoxph had scoping problems when run inside a 
      function (Daniel Almirall)
 
      svyglm and svycoxph now accept weights (to be multiplied by 
      the sampling weights)

      With R 2.0.0 less copying will occur, especially when variables=
      is not specified in a design

2.6-1 Totals for factors give cell totals.

2.6   Design effects were broken for multiple means computed at once.
      
      Add coefficient of variation for mean, total, ratio,...

      variables= argument of svydesign works with missing data (Tobias Verbeke)

      Fix reference to Binder (1991) (Tobias Verbeke)

      Means for factors now give cell means.

      coef and vcov methods for svystat and svrepstat.

      Another tiny example dataset from the VPLX manual
      
      svrepvar was incorrect for multiple variables simultaneously

      Better error messages for missing data in svrVar.

2.5   Wald tests for association in contingency tables.

      svyplot() for weighted graphics (some of these require "hexbin")

      Examples for rake(), postStratify()

      svyby() works for svrepdesign analyses as well
      added subset.svyrep.design()

      svrepvar() added

      Design effects for means and totals. (Gillian Raab)

2.4   Make regTermTest work with svycoxph()

      Clearer output for print.svycoxph() (Daniella Gollinelli)

      Rao-Scott adjusted tests for contingency tables.

      svyby() for tables of means, medians, etc

2.3-2 Fix for svyquantile confidence intervals.

2.3-1 clearer warnings in svrVar when some replicates give NA . (Gillian Raab)

2.3   svyquantile has confidence intervals, added svrepquantile.

2.2-1 as.svrepdesign didn't pass options to brrweights (Fred Rohde)

2.2   published in Journal of Statistical Software  
      - If population size is specified, but not weights or probabilities, 
      work out the probabilities from the population size
      - Clearer error message when some design information is NA (Tobias Verbeke)
      - better update() methods

2.0  Just a numbering change.

1.9-3  Fix svytotal variance estimate
       as.svrepdesign wasn't handling unstratified cluster samples right.
       Check for fpc in multistage samples, which we don't handle.
       add print method for basic survey statistics
       add rake()
       California API data.

1.9-2	Added post-stratification of replicate-weights

1.9-1   Bugfix: jknweights was requiring finite population correction.

1.9 	- "certainty" option for single-PSU strata
        - Replication weight analyses (alpha version)

1.4	- I think all the possible permutations of arguments 
	in svydesign now work.
	- The examples in svyglm incorrectly had a data= argument.	

1.3	svydesign wasn't allowing weights to be a vector.

1.2  	- svydesign(nest=TRUE) now uses less memory
	- added regTermTest for testing regression terms.	

1.1   	Added subset, update methods.  Variance estimation is now correct for
 	subpopulations produced with select or subscripting.

1.0	No changes
	
0.9-5   - finite population correction should be done with PSUs not 
	  individuals
	- added Cox models

0.9-4	- svyCprod was computing n/(n-1) using number of observations, 
          not number of PSUs, and was averaging observations rather than 
 	  PSU means to compute stratum means. 
	- Bug in handling multiple levels of cluster id in svydesign

0.9-3:   Finite population correction.
 	 Adjustments for stratum with single PSU (Fred Rohde)
	 Fixed svydesign(nest=TRUE) to work with strata

0.9-1:	First release.

