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().