R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
pssmooth
View on CRAN: Click
here
Download and install pssmooth package within the R console
Install from CRAN:
install.packages("pssmooth")
Install from Github:
library("remotes")
install_github("cran/pssmooth")
Install by package version:
library("remotes")
install_version("pssmooth", "1.0.3")
Attach the package and use:
library("pssmooth")
Maintained by
Michal Juraska
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-30
Latest Update: 2020-11-18
Description:
Implements estimation and testing procedures for evaluating an intermediate biomarker response as a principal surrogate of a clinical response to treatment (i.e., principal stratification effect modification analysis), as described in Juraska M, Huang Y, and Gilbert PB (2020), Inference on treatment effect modification by biomarker response in a three-phase sampling design, Biostatistics, 21(3): 545-560 . The methods avoid the restrictive 'placebo structural risk' modeling assumption common to past methods and further improve robustness by the use of nonparametric kernel smoothing for biomarker density estimation. A randomized controlled two-group clinical efficacy trial is assumed with an ordered categorical or continuous univariate biomarker response measured at a fixed timepoint post-randomization and with a univariate baseline surrogate measure allowed to be observed in only a subset of trial participants with an observed biomarker response (see the flexible three-phase sampling design in the paper for details). Bootstrap-based procedures are available for pointwise and simultaneous confidence intervals and testing of four relevant hypotheses. Summary and plotting functions are provided for estimation results.
How to cite:
Michal Juraska (2018). pssmooth: Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers. R package version 1.0.3, https://cran.r-project.org/web/packages/pssmooth. Accessed 19 Apr. 2025.
Previous versions and publish date:
Other packages that cited pssmooth R package
View pssmooth citation profile
Other R packages that pssmooth depends,
imports, suggests or enhances
Complete documentation for pssmooth
Functions, R codes and Examples using
the pssmooth R package
Some associated functions: bootRiskCurve . plotMCEPcurve . riskCurve . summary.riskCurve . testConstancy . testEquality .
Some associated R codes: pssmooth.R . Full pssmooth package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
PCGSE
Contains logic for computing the statistical association of variable groups, i.e., gene sets, with r ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: H. Robert Frost (view profile)
SDT
Functions for self-determination motivation theory (SDT) to compute
measures of motivation internal ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ali Uenlue (view profile)
MScombine
Find common entities detected in both positive and negative
ionization mode, delete this entity in ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Monica Calderon-Santiago (view profile)
signibox
Add significance marks to any R Boxplot, including a given significance niveau. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Louis-Marvin Sander (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
arsenal
An Arsenal of 'R' functions for large-scale statistical summaries,
which are streamlined to work wi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ethan Heinzen (view profile)
24,012
R Packages
207,311
Dependencies
65,069
Author Associations
24,013
Publication Badges
