Causal Inference by using G-Computation

Documentation for package ‘gcomputation’ version 0.34

dataCOHORT	Simulated Real Word Data Similar to the PROPHYVAP Study
dataPROPHYVAP	A Simulated Randomized Clinical Trial from the PROPHYVAP Study
gc_binary	G-Computation to Estimate a Marginal Effect for a Binary Outcome
gc_continuous	G-Computation to Estimate a Marginal Effect with a Continuous Outcome
gc_count	G-Computation to Estimate a Marginal Effect with a Counting Outcome
gc_times	G-Computation to Estimate a Marginal Effect for Time-to-Event Outcome
plot.gcbinary	S3 Method for Plotting a 'gcbinary' Object
plot.gccontinuous	S3 Method for Plotting a 'gccontinuous' Object
plot.gccount	S3 Method for Plotting a 'gccount' Object
plot.gctimes	S3 Method for Plotting a 'gctimes' Object
print.gcbinary	S3 Method for Printing an 'gcbinary' Object
print.gccontinuous	S3 Method for Printing an 'gccontinuous' Object
print.gccount	S3 Method for Printing an 'gccontinuous' Object
print.gctimes	S3 Method for Printing an 'gctimes' Object
print.summary.gcbinary	S3 Method for Summarizing an 'gcbinary' Object
print.summary.gccontinuous	S3 Method for Summarizing an 'gccontinuous' Object
print.summary.gccount	S3 Method for Summarizing an 'gccount' Object
print.summary.gctimes	S3 Method for Summarizing an 'gctimes' Object
summary.gcbinary	S3 Method for Summarizing an 'gcbinary' Object
summary.gccontinuous	S3 Method for Summarizing an 'gccontinuous' Object
summary.gccount	S3 Method for Summarizing an 'gccount' Object
summary.gctimes	S3 Method for Summarizing an 'gctimes' Object
transport	Transport the Marginal Effect for Another Populations