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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.