NEWS
cbcTools 0.7.2
- Added
cbc_suggest_priors() function to make it easier to get a starting point for priors based on attribute levels in the profiles object.
cbcTools 0.7.1 (2025-10-20)
- Auto-encoding to dummy coding occurs for
cbc_choices and cbc_power if the design is detected to have a no_choice option.
- Updated some of the print methods so that they don't error if the choices or design objects are modified by dplyr functions.
cbcTools 0.7.0
- Re-configures the design encoding to use "standard" coding by default.
- Reasoning for standard coding by default is for easier interpretation of summary metrics like balance and overlap.
- New function
cbc_encode() used to convert designs to dummy or effects coding.
cbcTools 0.6.4 (2025-09-23)
- Adds
balance_by argument to force balanced sampling in designs with restricted or otherwise unbalanced levels across attributes.
- Fixes issue where
remove_dominant was not working if there was a no_choice option.
cbcTools 0.6.3 (2025-08-21)
- Improve the greedy methods to include proper handling of the dominance checking and overall efficiency improvements.
cbcTools 0.6.1
- Added
include_probs argument to cbc_design(), which includes predicted choice probabilities in the returned design data frame if include_probs = TRUE. Defaults to FALSE.
cbcTools 0.6.0
- Major overhaul of the package with breaking changes.
- New function, `cbc_priors()``. This allows users to specify a set of priors according to a wide variety of model specifications, including random parameters (with or without correlated heterogeneity), interactions, and "no choice" options. These priors can then be used to create designs and simulate choices.
- Coefficients for levels of an attribute in
cbc_priors() can be named vectors, addressing #24.
- Major overhaul of the
cbc_design() function, with entirely new algorithms for searching for designs
- One is "random", three are frequency-based ("greedy") algorithms, and three more are d-error minimizing algorithms.
- Old methods removed:
"full", "orthogonal", "dopt", "CEA", and "Modfed"
- Bayesian D-efficient designs are now created based on the priors provided. With random parameters in the priors, a Bayesian D-efficient design will be created.
- New support for removing dominant alternatives from designs.
- New support for randomizing the order of questions and alternatives across respondents, addresses #29.
- New
cbc_inspect() function for comprehensively inspecting designs.
- New
cbc_compare() function for comparing designs.
- New functionality in
cbc_power() for computing visualizing power analyses.
cbcTools 0.5.2
- Bug fix in checking input settings (#34)
cbcTools 0.5.1
- Patch to fix a joining issue in the
join_profiles() function (#27)
cbcTools 0.5.0 (2023-07-12)
- Further revisions to the
method argument in the cbc_design() function.
- Added the
"random" and "dopt" methods.
- Added restrictions so that orthogonal designs cannot use the
label argument or restricted profile sets (as either of these would result in a non-orthogonal design).
cbcTools 0.4.0 (2023-06-30)
- Adjustments made to the
method argument in the cbc_design() function in preparation for potentially adding new design methods.
- Added the
"orthogonal" option for generating orthogonal designs.
cbcTools 0.3.4 (2023-06-13)
- Another small bug fix in
cbc_design() related to #16 where factor level ordering for categorical variables were being mis-ordered.
- Updated how the
method argument is handled by default in cbc_design() to be more flexible (anticipating other methods in the future).
- Added
keep_db_error arg to cbc_design().
cbcTools 0.3.3 (2023-06-02)
- Bug fix in
cbc_design() where factor level ordering for categorical variables were being mis-ordered.
- Added additional input check for appropriate
priors in cbc_design().
cbcTools 0.3.2 (2023-05-23)
- Modify how restrictions are defined in the
cbc_restrict() function to allow users to provide expressions.
cbcTools 0.3.1
- Add
cbc_restrict() function to improve UI for adding restrictions to profiles.
- Remove previous approach to including restrictions in
cbc_profiles().
- Add new test cases
cbcTools 0.3.0 (2023-05-09)
- Bug fix: modify code in
cbc_design() to avoid duplicate choice sets for the same respondents; addresses #7.
- Bug fix: modify code in
cbc_design() to allow Bayesian D-efficient designs with restricted profile sets; addresses #10 and #9.
cbcTools 0.2.0 (2023-02-28)
- Added a startup message when the package is loaded.
- Updates for compatibility with logitr version 1.0.1.
- Updated DESCRIPTION and CITATION to remove redundancy in title.
- Updated documentation of returned values in several functions.
cbcTools 0.1.0
- Added initial integration with {idefix} packages for Bayesian D-efficient designs
cbcTools 0.0.5
- Updates for compatibility with logitr version 0.8.0.
cbcTools 0.0.4
- Updates for compatibility with logitr version 0.7.0.
cbcTools 0.0.3
- Modified the argument of
cbc_profiles() to ... so that the user no longer needs to create a separate list to define the attributes and levels.
- Modified the arguments for the
randN() and randLN() functions to mean and sd.
- Improved printing of counts in
cbc_balance() and cbc_overlap().
- Updated names of random parameter models to match that of future logitr v0.6.0.
- Updated documentation and examples for all functions.
- Adding piping example to readme.
cbcTools 0.0.2
- Added support for conditional levels in
cbc_profiles()
cbcTools 0.0.1
- Added a
NEWS.md file to track changes to the package.