Analyze and Design Repeated Low-Dose Challenge Experiments

Documentation for package ‘rld’ version 1.0

rld-package	Designing and Analyzing Repeated Low-Dose Challenge Experiments
calcpk	Calculate Per-Challenge Probability of Infection
calcVEk	Calculate Per-Challenge Vaccine Efficacy
calcVEt	Calculate Vaccine Efficacy Before or At the Time of Challenge t
lrtest	Likelihood Ratio Test
print.calcpk	Calculate Per-Challenge Probability of Infection
print.calcVEk	Calculate Per-Challenge Vaccine Efficacy
print.calcVEt	Calculate Vaccine Efficacy Before or At the Time of Challenge t
print.lrtest	Likelihood Ratio Test
print.rld	Fit a Discrete-Time Survival Model
print.rld.design	Power analysis for the Repeated-Low Dose Experiments
print.summary.calcpk	Calculate Per-Challenge Probability of Infection
print.summary.calcVEk	Calculate Per-Challenge Vaccine Efficacy
print.summary.calcVEt	Calculate Vaccine Efficacy Before or At the Time of Challenge t
print.summary.rld	Fit a Discrete-Time Survival Model
rld	Fit a Discrete-Time Survival Model
rld.design	Power analysis for the Repeated-Low Dose Experiments
rld.fit	Discrete-Time Survival Model Fitting Function
SampleData	Simulated Sample Data for Illustration
spBayesSurv	Designing and Analyzing Repeated Low-Dose Challenge Experiments
summary.calcpk	Calculate Per-Challenge Probability of Infection
summary.calcVEk	Calculate Per-Challenge Vaccine Efficacy
summary.calcVEt	Calculate Vaccine Efficacy Before or At the Time of Challenge t
summary.rld	Fit a Discrete-Time Survival Model
transdata	Transfer Input Data Frame to Model Fitting Data Frame