R: Methods for Evaluating Principal Surrogates of Treatment Response

# Methods for Evaluating Principal Surrogates of Treatment Response

## Documentation for package ‘pseval’ version 1.3.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

+.ps | Modify a psdesign object by adding on new components.
add_bootstrap | Bootstrap resampling parameters
add_estimate | Estimate parameters
add_integration | Integration models
add_riskmodel | Add risk model to a psdesign object
calc_risk | Calculate the risk and functions of the risk
calc_STG | Calculate the Standardized total gain
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
print.psdesign | Concisely print information about a psdesign object
psdesign | Specify a design for a principal surrogate evaluation
pseudo_score | Estimate parameters from a specified model using pseudo-score
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
risk.logit | Logit link function
risk.probit | Probit link function
riskcalc | Calculate risks with handlers for survival data
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
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
TE | Treatment efficacy contrast functions
verify_trt | Check that a variable is suitable for using as binary treatment indicator
wem_test | Test for wide effect modification