Package: pssmooth
Type: Package
Title: Flexible and Efficient Evaluation of Principal
        Surrogates/Treatment Effect Modifiers
Version: 1.0.4
Authors@R: c(person("Michal", "Juraska", email = "mjuraska@fredhutch.org", role = c("aut", "cre")), person("Sebastien", "Haneuse", role = c("ctb", "cph"), comment = "author of the included tps() code from the osDesign package"), person("Takumi", "Saegusa", role = c("ctb", "cph"), comment = "author of the included tps() code from the osDesign package"), person("Nilanjan", "Chatterjee", role = c("ctb", "cph"), comment = "author of the included tps() code from the osDesign package"), person("Norman", "Breslow", role = c("ctb", "cph"), comment = "author of the included tps() code from the osDesign package"))
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
        <doi:10.1093/biostatistics/kxy074>. 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 (>= 3)
URL: https://github.com/mjuraska/pssmooth
Encoding: UTF-8
Imports: graphics, stats, np, chngpt, MASS
Suggests: knitr, rmarkdown
RoxygenNote: 7.3.2
Config/pak/sysreqs: cmake make
Repository: https://mjuraska.r-universe.dev
Date/Publication: 2026-10-13 23:36:57 UTC
RemoteUrl: https://github.com/mjuraska/pssmooth
RemoteRef: HEAD
RemoteSha: 2ce5120c0b423555fc018845ddf31247f3cf26af
NeedsCompilation: no
Packaged: 2026-10-14 02:10:23 UTC; root
Author: Michal Juraska [aut, cre],
  Sebastien Haneuse [ctb, cph] (author of the included tps() code from
    the osDesign package),
  Takumi Saegusa [ctb, cph] (author of the included tps() code from the
    osDesign package),
  Nilanjan Chatterjee [ctb, cph] (author of the included tps() code from
    the osDesign package),
  Norman Breslow [ctb, cph] (author of the included tps() code from the
    osDesign package)
Maintainer: Michal Juraska <mjuraska@fredhutch.org>