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.