as.weightit | Create a 'weightit' object manually |
as.weightit.default | Create a 'weightit' object manually |
as.weightit.weightit.fit | Create a 'weightit' object manually |
as.weightitMSM | Create a 'weightit' object manually |
as.weightitMSM.default | Create a 'weightit' object manually |
calibrate | Calibrate Propensity Score Weights |
calibrate.default | Calibrate Propensity Score Weights |
calibrate.weightit | Calibrate Propensity Score Weights |
ESS | Compute effective sample size of weighted sample |
get_w_from_ps | Compute weights from propensity scores |
glm_weightit | Fitting Weighted Generalized Linear Models |
lm_weightit | Fitting Weighted Generalized Linear Models |
make_full_rank | Make a design matrix full rank |
method_bart | Propensity Score Weighting Using BART |
method_cbps | Covariate Balancing Propensity Score Weighting |
method_ebal | Entropy Balancing |
method_energy | Energy Balancing |
method_gbm | Propensity Score Weighting Using Generalized Boosted Models |
method_glm | Propensity Score Weighting Using Generalized Linear Models |
method_ipt | Inverse Probability Tilting |
method_npcbps | Nonparametric Covariate Balancing Propensity Score Weighting |
method_optweight | Optimization-Based Weighting |
method_sbw | Optimization-Based Weighting |
method_super | Propensity Score Weighting Using SuperLearner |
method_user | User-Defined Functions for Estimating Weights |
msmdata | Simulated data for a 3 time point sequential study |
plot.summary.weightit | Print and Summarize Output |
plot.summary.weightitMSM | Print and Summarize Output |
sbps | Subgroup Balancing Propensity Score |
summary.glm_weightit | Fitting Weighted Generalized Linear Models |
summary.weightit | Print and Summarize Output |
summary.weightitMSM | Print and Summarize Output |
trim | Trim (Winsorize) Large Weights |
trim.default | Trim (Winsorize) Large Weights |
trim.weightit | Trim (Winsorize) Large Weights |
weightit | Estimate Balancing Weights |
weightit.fit | Generate Balancing Weights with Minimal Input Processing |
weightitMSM | Generate Balancing Weights for Longitudinal Treatments |