pwr

pwr: Basic functions for power analysis , Power analysis functions along the lines of Cohen (1988) (Source: http://cran.r-project.org/web/packages)

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Eggleston, B. S., Ibrahim, J. G., McNeil, B., Catellier, D: BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data (2021) not zbMATH
  2. Tyler Morgan-Wall, George Khoury: Optimal Design Generation and Power Evaluation in R: The skpr Package (2021) not zbMATH
  3. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  4. Paroli, Roberta; Consonni, Guido: Objective Bayesian comparison of order-constrained models in contingency tables (2020)
  5. Harrar, Solomon W.; Ronchi, Fabrizio; Salmaso, Luigi: A comparison of recent nonparametric methods for testing effects in two-by-two factorial designs (2019)
  6. Chen, Ding-Geng (Din); Peace, Karl E.; Zhang, Pinggao: Clinical trial data analysis using R and SAS (2017)
  7. Ekstrøm, Claus Thorn: The R primer (2016)
  8. Silva, A. R.; Dias, C. T. S.; Cecon, P. R.; Rêgo, E. R.: An alternative procedure for performing a power analysis of Mantel’s test (2015)
  9. Rao, Marepalli B. (ed.); Rao, C. R. (ed.): Computational statistics with R (2014)
  10. Francis, Gregory: Replication, statistical consistency, and publication bias (2013)
  11. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)