Changes in version 1.1.4 (2024-08-28) Minor changes - replace dontrun{} with donttest{} in an example code in dbw() function Changes in version 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 Changes in version 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. Changes in version 1.1.1 Bug fixes - Update examples for plot.dbw() function. Changes in version 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. Changes in version 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. Changes in version 1.0.3 Bug fixes - Fix typos in DESCRIPTION file and an error in dbw(). Changes in version 1.0.2 Bug fixes - Fix typos and delete unnecessary spaces in the DESCRIPTION file. Changes in version 1.0.1 Minor changes - Use dontrun() in the example for the time constraint. Changes in version 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. Changes in version 0.5.0 Minor changes - Revert the internal calculation of eta when lambda > 0. Changes in version 0.4.1 Minor changes - Normalize the estimated weights in "plot.dbw()" function. Changes in version 0.4.0 Minor changes - Slightly change the internal calculation of eta when lambda > 0. Changes in version 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. Changes in version 0.2.2 Bug fixes - Scale checks when lambda > 0. Changes in version 0.2.1 Bug fixes - Outcome name extraction for "method = "AO"". Changes in version 0.2.0 Minor changes - Add "vcov" option, which indicates whether to estimate the variance. - Delete unused "std" function. Changes in version 0.1.0 Minor changes - Add references. Changes in version 0.0.1.9000 Major changes - This is the first release of dbw.