synthpop 1.5-1
---------------

BUG FIXES
* Not running an example that mostly fails due to too many small categories in 
  the synthesised data set.


synthpop 1.5-0
---------------

NEW FEATURES
* New methods "catall" and "ipf" that synthesise a group of variables together 
  at the start of the synthesis.
* New parameters `numtocat` and `catgroups` for syn(). Variables in `numtocat` 
  are converted into categorical variables with breaks determined by their 
  distribution and `catgroups` gives the target number of groups for each 
  variable. The data with the categorical versions are then synthesised and 
  finally the synthesised variables in `numtocat` are created from bootstrap 
  samples within the categories. This feature was developed for the  second 
  stage of "ipf" and "catall" but can be used with any method. Variables
  in `numtocat` must have a method suitable for categorical data.
* New function numtocat.syn() can be used to group numeric variables into 
  categories. It can be used before synthesis to create a new data frame that 
  can then be synthesised. It should be used instead of the `numtocat` parameter 
  of syn() if you want to keep the categorical variables in the synthetic data.
* The function nested.syn() can now be used with continuous variables nested
  within categories. It also allows smoothing of the non-missing data.
* New function codebook.syn() that can be used to check features of data 
  before synthesis.
* New parameter to compare.synds() `stat` with possible values "percents" or 
  "counts" allows tables and plots to display counts instead of percentages in 
  groups.

CHANGES
* Some improvements to utility.tab(): 
  - default for `print.tables` is to print if up to a 3-way table;
  - a new parameter `useNA` to include or exclude NA values from tables;
  - a new parameter `print.stats` to allow a choice of what statistics to be 
    printed and the default is to print only the Voas-Williamson statistic with 
    a simpler format.
* Format of printed output from utility.gen() has been changed to emphasise the 
  ratio to the expected as the most important measure.
* `mincriterion` for syn.ctree() changed to `0.9`.
* If the syn() parameter `models = TRUE`, models are stored for the variables
  in the visit sequence and for missing values in the continous variables.

BUG FIXES
* utility.tab() and utility.gen() for synthetic data generated from syn.strata().
* Smoothing for "sample" method.

synthpop 1.4-4
---------------

BUG FIXES
* Compatibility with the new version of ggplot2 (2.3.0).
* Check in multi.compare() for missing argument `var`.
* Check in sdc() for data type of variables to be smoothed.
* Size of $syn when k < n and all synthesising methods without predictors.


synthpop 1.4-3
---------------

CHANGES
* In padModel.syn() the default for newly defined synthesising methods is 
  NOT to create dummy variables from factors before fitting models.

BUG FIXES
* Extraction of variable name from a tranformed dependant variable in 
  glm.synds(), lm.synds() and multinom.synds().
* In syn.polyreg() numerical variables used as predictors for the multinom() 
  function are scaled so as to have a range (0,1) to improve convergence. An 
  extra warning is included if all the preicted values are in one category, 
  which can result when the model fails to iterate due to sparse data.


synthpop 1.4-1
---------------

NEW FEATURES
* New version of utility.gen() and print.utility.gen(). These now implement 
  the methods described in Snoke et. al. and include the following:
  - appropriate method of getting the null distribution is selected based on 
    synthesis details;
  - warning messages if CART models fail to split;
  - allow a seed value to be set and stored for resampling methods;
  - printing Z scores from logit models using the average fit over different 
    syntheses.
* New function multinom.synds() to fit multinomial models to synthetic data 
  using the multinom() function from the package nnet.

CHANGES
* Default `cp` parameter in syn.cart() changed to 1e-8.
* Default `print.tables` parameter in utility.tab() changed to `TRUE`.
* All syn() result components that are lists, e.g. `cont.na`, have their
  elements named.
  
BUG FIXES
* Call to classIntervals() in utility.tab() uses style = "fisher" as default 
  to avoid problems for variables with a small number of unique values. 
* utility.tab() computes breaks for grouping from the combined data rather 
  than just from the observed. This avoids problems when synthetic values are 
  outside the range of the observed ones.
* In compare.fit.synds() the quantity real.varcov needs to be multiplied by 
  sigma^2 when fitting.function is "lm".


synthpop 1.4-0
---------------

NEW FEATURES
* Vignette on inference from fitted models (we are grateful to Joerg Drechsler 
  for his comments).
* New function syn.satcat allows saturated categorical models to be fitted
  from all possible interactions of the predictor variables.

CHANGES
* utility.tab() returns p-values for utility measures rather than standardised 
  versions of the measures.
* `smooth.vars` parameter added to sdc() function which allows smoothing of
  numeric variables in the synthesised dataset.
* If `models = TRUE` in syn(), for `logreg` and `ployreg` coefficients of the 
  fitted model are returned. 
* Output from print.summary.fit.synds() is labelled differently according to
  whether `population.inference` is TRUE or FALSE (see vignette on inference). 
  Also it now includes p-values and stars as are shown for lm() and glm().
* Warning messages are given in summary.fit.synds() when inference is attempted
  from an invalid model where synthsis has not conditioned on any variables
  that have been left unsynthesised.
* The `msel` parameter of print.summary.fit.synds() prints a table of estimates 
  rather than a lsiting of each fit in detail.
* Several changes in compare.fit.synds() are described in detail in the new 
  vignette on inference ('Inference from fitted models in synthpop'). These 
  include extensions of the lack-of-fit tests and confidence interval overlap 
  measures for different options.

BUG FIXES
* replicated.uniques() for a single variable.
* syn.cart() for logical variables without missings (thanks to bug report 
  by Ruben Arslan).
* syn() can be used without loading the package (thanks to reported issue
  by Ruben Arslan)   
* Missing data factor level <NA> as a stratum in syn.strata()  
* `seed` for syn.strata(). 
* print.fit.synds() for syn.strata() object.


synthpop 1.3-2
---------------

CHANGES
* For consistency reasons tab.utility() changed to utility.tab() and 
  utility.synds() to utility.gen().
* utility.gen() under major revision and temporarily unavailable.  
* Revision of utility.tab() function: a measure of fit proposed by Voas and 
  Williams and one proposed by Freeman and Tukey are calculated; 
  continous variables are categorised using classIntervals() function.
* Revision of compare.fit.synds() function: new lack-of-fit measures and mean 
  values for existing analysis-specific utility measures (confidence interval 
  overlap and absolute standardized difference between coefficient); 
  `return.result` parameter replaced by `print.coef` with slightly different 
  functionality - analysis-specific utility measures are always printed but you
  can choose whether to print or not model estimates. 

BUG FIXES
* compare.synds() for integer variables without missing values (thanks to bug 
  report by Joerg Drechsler).


synthpop 1.3-1
---------------

CHANGES
* Update of the vignette.

BUG FIXES
* compare.synds() for variables with NA values in observed but not in 
  synthetic data returns correct value (0) for NA category in synthetic data.
* Invalid `times` argument corrected (lists of numbers coerced to numbers).


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().
