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All functions

TE()
Treatment efficacy contrast functions
add_bootstrap()
Bootstrap resampling parameters
add_estimate()
Estimate parameters
add_integration()
Integration models
add_riskmodel()
Add risk model to a psdesign object
calc_STG()
Calculate the Standardized total gain
calc_risk()
Calculate the risk and functions of the risk
empirical_TE()
Compute the empirical Treatment Efficacy
empirical_VE()
Compute the empirical Treatment Efficacy
expand_augdata()
Expand augmented data using the integration function
generate_example_data()
Generate sample data used for testing
integrate_bivnorm()
Bivariate normal integration models for the missing S(1)
integrate_nonparametric()
Nonparametric integration model for the missing S(1)
integrate_parametric()
Parametric integration model for the missing S(1)
integrate_semiparametric()
Semiparametric integration model using the location-scale model
plot(<psdesign>)
Plot summary statistics for a psdesign object
`+`(<ps>)
Modify a psdesign object by adding on new components.
print(<psdesign>)
Concisely print information about a psdesign object
ps_bootstrap()
Estimate parameters from a specified model using bootstrap resampling and estimated maximum likelihood
ps_estimate()
Estimate parameters from a specified model using estimated maximum likelihood
psdesign()
Specify a design for a principal surrogate evaluation
pseudo_score()
Estimate parameters from a specified model using pseudo-score
risk.logit()
Logit link function
risk.probit()
Probit link function
risk_binary()
Risk model for binary outcome
risk_continuous()
Risk model for continuous outcome
risk_exponential()
Exponential risk model for time to event outcome
risk_poisson()
Poisson risk model for count outcomes
risk_weibull()
Weibull risk model for time to event outcome
riskcalc()
Calculate risks with handlers for survival data
sp_locscale()
Fit the semi-parametric location-scale model
stg()
Compute the standardized total gain
summarize_bs()
Summarize bootstrap samples
summary(<psdesign>)
Summary method for psdesign objects
verify_trt()
Check that a variable is suitable for using as binary treatment indicator
wem_test()
Test for wide effect modification