Package index • LBCNet

All functions

est_effect(<lbc_net>): Estimate Weighted Outcomes, ATE, or ATT for an lbc_net object

est_effect(): Estimate Causal Effects

getLBC(<lbc_net>): Extract Components from an lbc_net Object

getLBC(<lbc_net_surv>): Extract Components from an lbc_net_surv Object

getLBC(<lsd>): Extract Components from an lsd Object

getLBC(): Extract Components from an Object

gsd(): Compute Global Standardized Mean Difference (GSD)

lbc_net-class: Class "lbc_net" of Fitted LBC-Net Models

lbc_net(): Estimate Propensity Scores Using LBC-Net

lbc_net_surv(): Estimate Survival Difference Using LBC-Net and IPW Nelson–Aalen

lsd(): Local Standardized Mean Difference (LSD) Calculation

mirror_hist(): Mirror Histogram of Propensity Scores

plot(<lsd>): Plot Local Standardized Mean Difference (LSD) Results

plot_calib(): Calibration Plot for Propensity Scores

plot_cov_bal(): Plot Covariate Distribution Between Groups

print(<lbc_net>): Print Basic Information of an lbc_net Object

print(<lbc_net_surv>): Print Basic Information of an lbc_net_surv Object

print(<lsd>): Print Basic Information of an lsd Object

setup_lbcnet(): Setup Python Environment for LBCNet

span_bw(): Compute Adaptive Bandwidth for Kernel Smoothing

summary(<lbc_net>): Summary of an lbc_net Object

summary(<lbc_net_surv>): Summary of an lbc_net_surv Object

summary(<lsd>): Summary of an lsd Object