CRAN/E | CMFsurrogate

CMFsurrogate

Calibrated Model Fusion Approach to Combine Surrogate Markers

Installation

About

Uses a calibrated model fusion approach to optimally combine multiple surrogate markers. Specifically, two initial estimates of optimal composite scores of the markers are obtained; the optimal calibrated combination of the two estimated scores is then constructed which ensures both validity of the final combined score and optimality with respect to the proportion of treatment effect explained (PTE) by the final combined score. The primary function, pte.estimate.multiple(), estimates the PTE of the identified combination of multiple surrogate markers. Details are described in Wang et al (2022) doi:10.1111/biom.13677.

Key Metrics

Version 1.0
R ≥ 3.5.0
Published 2022-09-23 570 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks CMFsurrogate results

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Maintainer

Maintainer

Layla Parast

parast@austin.utexas.edu

Authors

Xuan Wang

aut

Layla Parast

cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5.0

Imports

splines
MASS
stats