Package: ssanv 1.1

Michael P. Fay

ssanv: Sample Size Adjusted for Nonadherence or Variability of Input Parameters

A set of functions to calculate sample size for two-sample difference in means tests. Does adjustments for either nonadherence or variability that comes from using data to estimate parameters.

Authors:Michael P. Fay <mfay@niaid.nih.gov>

ssanv_1.1.tar.gz
ssanv_1.1.tar.gz(r-4.5-noble)ssanv_1.1.tar.gz(r-4.4-noble)
ssanv_1.1.tgz(r-4.4-emscripten)ssanv_1.1.tgz(r-4.3-emscripten)
ssanv.pdf |ssanv.html✨
ssanv/json (API)

# Install 'ssanv' in R:
install.packages('ssanv', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:r-ssanv-1.1(2025-03-25)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.86 score 13 packages 1.9k downloads 6 exports 0 dependencies

Last updated 10 years agofrom:7d1b81f163. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-linuxOKMar 11 2025

Exports:find.calibrated.betass.fromdata.neffss.fromdata.nvarss.fromdata.poisss.nonadhuniroot.integer

Dependencies:

Citation

To cite ssanv in publications use:

Fay, M.P.,Follmann, D.A., Halloran, M.E. (2007). Accounting for variability in sample size estimation with applications to nonadherence and estimation of variance and effect size Biometrics 63: 465--474.

Corresponding BibTeX entry: 

  @Article{,
    title = {Accounting for variability in sample size estimation with
      applications to nonadherence and estimation of variance and
      effect size},
    author = {Michael P. Fay and M. Elizabeth Halloran and Dean A.
      Follmann},
    journal = {Biometrics},
    year = {2007},
    volume = {63},
    pages = {465--474},
  }