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.