ps_bootstrap

n.boots

Logical, if true will display a progress bar in the console

progress.bar

Vector of starting values, if NULL, will come up with starting values

start

Method to use for optimization, can be "pseudo-score" for
categorical S with nonparametric integration, or any of the methods
available in <a rd-options="" href="/link/optim?package=pseval&version=1.3.1" data-mini-rdoc="pseval::optim">optim</a>. Defaults to "BFGS"

method

List of control parameters for passed to <a rd-options="" href="/link/optim?package=pseval&version=1.3.1" data-mini-rdoc="pseval::optim">optim</a>

control

Arguments passed to <a rd-options="" href="/link/optim?package=pseval&version=1.3.1" data-mini-rdoc="pseval::optim">optim</a>

Estimate parameters from a specified model using bootstrap resampling and estimated maximum likelihood

Contains the core methods for the evaluation of principal
surrogates in a single clinical trial. Provides a flexible interface for
defining models for the risk given treatment and the surrogate, the models
for integration over the missing counterfactual surrogate responses, and the
estimation methods. Estimated maximum likelihood and pseudo-score can be used
for estimation, and the bootstrap for inference. A variety of post-estimation
summary methods are provided, including print, summary, plot, and testing.

Michael Sachs

pseval

Methods for Evaluating Principal Surrogates of Treatment
Response

Michael C Sachs 

Erin E Gabriel 

ps_bootstrap function

Method to use for optimization, can be "pseudo-score" for
categorical S with nonparametric integration, or any of the methods
available in <a rd-options='' href='optim'>optim</a>. Defaults to "BFGS"

List of control parameters for passed to <a rd-options='' href='optim'>optim</a>

Arguments passed to <a rd-options='' href='optim'>optim</a>

ps_bootstrap: Estimate parameters from a specified model using bootstrap resampling and estimated maximum likelihood

Description

Usage

Arguments