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dbw 1.1.4

Minor changes

• replace dontrun{} with donttest{} in an example code in dbw() function

dbw 1.1.3

Minor changes

• Add a citation of the article proposing the distribution balancing weighting (Katsumata 2024) published in Political Science Research and Methods

dbw 1.1.2

Bug fixes

• Fix an issue in assigning column names for std_comp() function when there is only one covariate for the propensity score model.

dbw 1.1.1

Bug fixes

• Update examples for plot.dbw() function.

dbw 1.1.0

Minor changes

• Add “normalize” argument to dbw() function for “method =”dbw”“. If set”FALSE”, it estimates the non-normalized distribution balancing weights.
• Add internal functions for estimating the non-normalized distribution balancing weights.
• Add “normalize” component to dbw class.
• Add some examples for estimating non-normalized distribution balancing weights.
• Update the README files ### Bug fixes
• Revise error and warning messages.

dbw 1.0.4

Minor changes

• Delete unnecessary calculation in DC algorithm.
• Add explanation for “formula_y” not to include the treatment variable.
• Add an error message when “formula_y” includes the treatment variable.
• Fix typos in a warning message in dbw(). ### Bug fixes
• Fix issues in calculating the derivatives of the regularization terms.
• Fix an issue in std_comp() function when the number of covariates is one.

dbw 1.0.3

Bug fixes

• Fix typos in DESCRIPTION file and an error in dbw().

dbw 1.0.2

Bug fixes

• Fix typos and delete unnecessary spaces in the DESCRIPTION file.

dbw 1.0.1

Minor changes

• Use dontrun() in the example for the time constraint.

dbw 1.0.0

Major changes

• Improve the DC algorithm for “method =”dbw”“. ### Minor changes
• Revise the variance-covariance matrix estimation for “method =”dbw”“.
• Add “tol” option, which is the tolerance parameter for “method =”dbw”“.
• Add “init_lambda” option, which is a parameter for “method =”dbw”” to set the lambda value for the initial values estimation.

dbw 0.5.0

Minor changes

• Revert the internal calculation of eta when lambda > 0.

dbw 0.4.1

Minor changes

• Normalize the estimated weights in “plot.dbw()” function.

dbw 0.4.0

Minor changes

• Slightly change the internal calculation of eta when lambda > 0.

dbw 0.3.0

Minor changes

• Add “std_comp()” function, which generates a complete-case data frame with standardized covariates for propensity score estimation. This function is meant to be used before dbw() with regularization (lambda > 0). ### Bug fixes
• incomplete case adjustment for weights.

dbw 0.2.2

Bug fixes

• Scale checks when lambda > 0.

dbw 0.2.1

Bug fixes

• Outcome name extraction for “method =”AO”“.

dbw 0.2.0

Minor changes

• Add “vcov” option, which indicates whether to estimate the variance.
• Delete unused “std” function.

dbw 0.1.0

Minor changes

• Add references.

dbw 0.0.1.9000

Major changes

• This is the first release of dbw.

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.