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 |
confint.glm_weightit |
Methods for 'glm_weightit()' objects |
coxph_weightit |
Fitting Weighted Generalized Linear Models |
ESS |
Compute effective sample size of weighted sample |
get_w_from_ps |
Compute weights from propensity scores |
glm_weightit |
Fitting Weighted Generalized Linear Models |
glm_weightit-methods |
Methods for 'glm_weightit()' objects |
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 |
multinom_weightit |
Fitting Weighted Generalized Linear Models |
ordinal_weightit |
Fitting Weighted Generalized Linear Models |
plot.summary.weightit |
Print and Summarize Output |
plot.summary.weightitMSM |
Print and Summarize Output |
plot.weightit |
Plot information about the weight estimation process |
predict.glm_weightit |
Predictions for 'glm_weightit' objects |
predict.multinom_weightit |
Predictions for 'glm_weightit' objects |
predict.ordinal_weightit |
Predictions for 'glm_weightit' objects |
print.glm_weightit |
Methods for 'glm_weightit()' objects |
sbps |
Subgroup Balancing Propensity Score |
summary.glm_weightit |
Methods for 'glm_weightit()' objects |
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 |
vcov.glm_weightit |
Methods for 'glm_weightit()' objects |
weightit |
Estimate Balancing Weights |
weightit.fit |
Generate Balancing Weights with Minimal Input Processing |
weightitMSM |
Generate Balancing Weights for Longitudinal Treatments |