synthpop 1.3-0
---------------

NEW FEATURES
* Storing results of CART models when `models` set to TRUE.
* Function syn.strata() for stratified synthesis.
* Function multi.compare() for multivariate comparison of synthesised and 
  observed data.
* Synthesising method "nested" for a variable nested within another variable.
* Tabular utility function tab.utility() for comparing contingency tables from 
  observed and synthesized data.
* Parameter `uniques.exclude` for the sdc() function, which can be used to 
  remove some variables from the identification of uniques.
* Function replicated.uniques() returns a number of unique individuals in the 
  original data set ($no.uniques).
  
CHANGES
* Synthetic values of collinear variables are derived based on the one that 
  is synthesised first and their method is set to "collinear". They do not 
  have to be removed prior to synthesis. 
* Synthesising method for constant variables is set to "constant" and the 
  variables are not removed from the synthesised data set when 
  `drop.not.used = TRUE`. 
* Default synthesising `method` changed to "cart".
* Default `minnumlevels` changed to -1 (during synthesis numeric variables are 
  not changed to factors regardless of the number of distinct values). 
* Coefficient estimates and their confidence intervals are ploted in the same 
  order as they are presented in a tabular form.   
* No message on the seed value used (it is stored in the result object).
* Formula of the model to be fitted using glm.synds() or lm.synds() can be 
  specified outside the function.
* Massage for sdc() on number of replicated uniques also when it is equal to 
  zero.   
* Maximum number of iterations for a multinomial model used in `polyreg` and 
  `polr` method increased to 1000 (`maxit` parameter). Message if the limit is 
  reached.
* write.syn() saves complete synds object into a file synobject_filename.RData. 
* Error on exceeding `maxfaclevels` in not generated if `method` for the factor
  is set to "sample" or "nested".
* For constant variables method is changed to `constant`. 
* Year format for variables `ymarr` and `ysepdiv` in SD2011 dataset changed 
  from `yy` to `yyyy`.     

BUG FIXES
* Types and placement of special signs that are allowed in `rules` have been 
  extended and include e.g. initial and closing round bracket.
* compare.synds() provides output for logical variables.
* Synthesis of logical variables with missing values.
* Message about a change of method for a variable without predictors.
* Check for `filetype` in write.syn() 


synthpop 1.2-1
---------------

BUG FIXES
* No calling var(x) on a factor x (in checks).
* No `contrasts` attribute for factors synthesised using parametric method.
* Misspelled vector name (nlevels) replaced with a correct one (nlevel).


synthpop 1.2-0
---------------

NEW FEATURES
* A new function utility.synds() for distributional comparison of synthesised 
  data with the original (observed) data using propensity scores. 
* New measures for comparing model estimates based on synthesised and observed 
  data implemented in compare.fit.synds() function: standardized differences 
  in coefficient values(`coef.diff`) and confidence interval overlap (`ci.overlap`).

CHANGES
* No dependency on `coefplot` package.  
* Default for `drop.not.used` changed to FALSE.


synthpop 1.1-1
---------------

CHANGES
* Both variable names and their column indices can be used in `visit.sequence`.
* Arguments `rules`, `rvalues`, `cont.na`, `semicont`, `smoothing`, `event`,
  `denom` are specified as named lists, e.g. rules = list(marital = "age < 18")
  and do not have to be specified for all variables.
* Optional arguments can be passed to synthesising functions by specifying 
  `funname.argname` arguments, e.g. ctree.minbucket = 5; they are 
  function-specific; `minbucket` removed from arguments.  
* Smoothing is possible for numeric variables when synthesised with the method 
  'sample'.
* compare() is a generic function with two methods (for class `synds` and 
  `fit.synds`); it replaced two separate functions.   
* New argument `return.plot` for compare() method for class `fit.synds`.
* New argument `msel` for compare() method for class `synds`, which 
  allows comparison for pooled or selected data set(s). Results for multiple
  synthetic data sets can be plotted on the same graph. 
* New argument `nrow` for compare() method for class `synds`; `nrow`
  and `ncol` determine number of plots per screen.
* Argument `plot.na` for compare() method for class `synds` is no longer 
  required and missing data categories for numeric variables are ploted 
  on the same plot as non-missing values. 
* Argument `object` of lm.synds() and glm.synds() functions changed to `data`. 
* print() method for class `fit.synds` gives by default combined coefficient 
  estimates only.
* summary() method for class `fit.synds` gives combined coefficient 
  estimates and their standard errors.
* summary() method for class `synds` with multiple synthetic data sets 
  provides by default summaries that are calculated by averaging summary 
  values for all synthetic data copies.
* Argument `obs.data` of compare.fit.synds() function changed to `data`. 
* Method `surv.ctree` and `cart.bboot` changed to `survctree` and `cartbboot`.

BUG FIXES
* `denom` and `event` for variables with missing data.
* `maxfaclevels` can be increased.
* Continuous variables with missing data when zero is a non-missing value.
* Synthesis of a single variable (with or without auxiliary predictors) now 
  works.


synthpop 1.1-0
---------------

NEW FEATURES
* Function sdc() for statistical disclosure control of the synthesised data 
  set(s); function replicated.uniques() to determine which unique units in the 
  synthesised data set(s) replicates unique units in the original data set.    
* Function read.obs() to import original data sets form external files.
* Function write.syn() to export synthetic data sets to external files and 
  create a text file with information about the synthesis.
* syn() has new `semicont` parameter that allows to define spike(s) 
  for semi-continuous variables in order to synthesise them separately.
* `lognorm`, `sqrtnorm` and `cubertnorm` methods for synthesis by linear 
  regression after natural logarithm, square root or cube root transformation 
  of a dependent variable.  
* `seed` argument for syn() function.

CHANGES
* Revised output of summary.fit.synds() and compare.fit.synds(); 
  standard errors of Z scores corrected (se(Z.syn)) 
  (thanks to Joerg Drechsler).
* Figures for compare.fit.synds() and compare.synds() functions plotted 
  using ggplot2 functions.  
* period.separated or alllowercase naming convention has been adopted and 
  parameter names `populationInference`, `visitSequence`, `predictorMatrix`,
  `contNA`, `defaultMethod`, `printFlag` and `nlevelmax` have been changed to
  `population.inference`, `visit.sequence`, `predictor.matrix`, `cont.na`,
  `default.method`, `print.flag` and `minnumlevels` respectively.
* Default for drop.pred.only changed to FALSE.

BUG FIXES
* Rounding procedure (thanks to bug report by Joerg Drechsler).
* Warning about extra disregarded argument `family` in compare.fit.synds().
