Package: pssmooth Type: Package Title: Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers Version: 1.0.3 Authors@R: person("Michal", "Juraska", email = "mjuraska@fredhutch.org", role = c("aut", "cre")) BugReports: https://github.com/mjuraska/pssmooth/issues 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. License: GPL-2 URL: https://github.com/mjuraska/pssmooth Encoding: UTF-8 Imports: graphics, stats, osDesign, np, chngpt, MASS Suggests: knitr, rmarkdown RoxygenNote: 7.1.1 Config/pak/sysreqs: cmake make Repository: https://mjuraska.r-universe.dev Date/Publication: 2020-11-18 01:09:16 UTC RemoteUrl: https://github.com/mjuraska/pssmooth RemoteRef: HEAD RemoteSha: a34c0340f315b9ff5d97e09695e54859267b0288 NeedsCompilation: no Packaged: 2026-06-08 08:50:40 UTC; root Author: Michal Juraska [aut, cre] Maintainer: Michal Juraska