1.0.0

The package is considered stable enough to be used in production
New maintainer

0.4.5

Bugfix: additional outputs are indeed passed on to a custom display function (Issue #13 raised by @Dmitrilbr, Bugfix in PR #14)

0.4.4

Adaptation to the upcoming Matrix 1.5

0.4.3

Remove the giveCsparse warning (appeared with Matrix 1.3 shipped with R 4.0) (issue #7)
Fix the discretization problem with qualitative variables with one modality (issue #8), thanks to @ThomasDeroyon

0.4.2

Change maintainer e-mail address.

0.4.1

Debug against R-devel: as of R 4.0.0, class(.) on a matrix object has length > 1.

0.4.0

Breaking: Heavy remanufacturing of define_variance_wrapper
- New: technical_data argument offers a more consistent way to include technical data within the enclosing environment of the wrapper. objects_to_include is kept for non-data objects (such as additional statistic wrappers) or advanced customization.
- New: technical_param argument offers a more convenient way to specify default values for parameters used by the variance function.
- New: reference_weight replaces default$weight. This means that the reference weight used for point estimation and linearization is set while defining the variance wrapper and not at run-time.
- Deprecated: stat, which was a remain of an early implementation of linearization functions, is not a parameter of the variance wrappers anymore. Its purpose (to apply a given variance wrapper to several variables without having to type the name of the linearization wrapper) is now covered by the standard evaluation capabilities of statistic wrappers (see below).
- Deprecated: default is replaced by default_id, as default$weight and default$stat are no longer needed. As for default$alpha, its value is set to 0.05 and cannot be changed anymore while defining the variance wrapper (as this can easily be done afterwards using formals<-).
- Deprecated: objects_to_include_from
Breaking: Rebranding and heavy remanufacturing of define_statistic_wrapper (previously known as define_linearization_wrapper), added support for standard evaluation (see define_variance_wrapper examples).
New: the qvar function allows for a straigthforward variance estimation in common cases (stratified simple random sampling with non-response through reweighting and calibration) and performs both technical and methodological checks.
Some normalization in function names: add0 becomes add_zero, sumby becomes sum_by, rescal becomes res_cal
Example data: calibration variables in ict_sample instead of ict_survey, new LFS example data
Significant increase of unit tests

0.3.1

Hotfix: Add calibrated weights to define_variance_wrapper example.

0.3.0

Simulated data added
Significant increase of unit tests
Documentation completed
Simplification of the structure of the main object processed by the variance wrapper
Removal of unnecessary arguments in linearization wrappers
Removal of the linerization wrappers for the Laeken indicators based on the vardpoor package (better integration in a future release)
Preparation for a first CRAN release

0.2.7

Now linearization with all data parameters set to NULL are discarded from the estimation.

0.2.6

Bug fix: evaluation of variables can occur either in the data argument or in the evaluation environment (envir argument)

0.2.3-0.2.5

Several attempts to output more metadata from linearization functions.
At the end : ratio() gains two metadata slots, est_num and est_denom

0.2.2

Minor bug fixes

0.2.1

Beginning of the documentation
Renaming of numerous functions and arguments
Change the precalc structure in varDT
Normalize the treatment of weights
New linearization wrappers: gini() and arpr()

0.1.3-0.1.7

No more dependency to package pryr
Add the generalized inverse in varDT
Other bug fixes