Other packages > Find by keyword >

pssmooth  

Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers
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]
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 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:44), 1.0.0 (2018-07-30 00:00), 1.0.1 (2018-09-19 22:10), 1.0.2 (2019-01-22 22:50)
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

gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA