Methods for Evaluating Principal Surrogates of Treatment
Response
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘pseval’ version 1.3.1
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 |