multcomp

multcomp: Simultaneous Inference for General Linear Hypotheses. R package. Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book ”Multiple Comparisons Using R” (Bretz, Hothorn, Westfall, 2010, CRC Press).


References in zbMATH (referenced in 26 articles )

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  1. Ludwig A. Hothorn, Frank Schaarschmidt: A Tukey type trend test for repeated carcinogenicity bioassays, motivated by multiple glyphosate studies (2020) arXiv
  2. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  3. Ahmad, M. Rauf: Multiple comparisons of mean vectors with large dimension under general conditions (2019)
  4. Bogomolov, Marina; Davidov, Ori: Order restricted univariate and multivariate inference with adjustment for covariates in partially linear models (2019)
  5. Chatterjee, Debajit; Bandyopadhyay, Uttam: Testing in nonparametric ANCOVA model based on ridit reliability functional (2019)
  6. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  7. Bornkamp, Björn: Calculating quantiles of noisy distribution functions using local linear regressions (2018)
  8. Hirschauer, Norbert; Grüner, Sven; Mußhoff, Oliver; Becker, Claudia: Pitfalls of significance testing and (p)-value variability: an econometrics perspective (2018)
  9. Holmes, Susan: Statistical proof? The problem of irreproducibility (2018)
  10. Schaarschmidt, Frank: Multiple treatment comparisons in analysis of covariance with interaction, SCI for treatment covariate interaction (2017)
  11. Colombi, Roberto; Forcina, A.: Testing order restrictions in contingency tables (2016)
  12. Hasler, Mario: Heteroscedasticity: multiple degrees of freedom vs. sandwich estimation (2016)
  13. Koldanov, Petr; Lozgacheva, Nina: Multiple testing of sign symmetry for stock return distributions (2016)
  14. Lu, Tong-Yu; Poon, Wai-Yin; Cheung, Siu Hung: Multiple comparisons of treatments with skewed ordinal responses (2016)
  15. Punzo, Antonio; Browne, Ryan P.; Mcnicholas, Paul D.: Hypothesis testing for mixture model selection (2016)
  16. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  17. van den Heuvel-Panhuizen, Marja; Elia, Iliada; Robitzsch, Alexander: Kindergartners’ performance in two types of imaginary perspective-taking (2015) MathEduc
  18. van Hees VT, Fang Z, Langford J, Assah F, Mohammad A, da Silva IC, Trenell MI, White T, Wareham NJ, Brage S.: Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents (2014) not zbMATH
  19. Jamshidian, Mortaza; Yuan, Ke-Hai: Data-driven sensitivity analysis to detect missing data mechanism with applications to structural equation modelling (2013)
  20. Presanis, Anne M.; Ohlssen, David; Spiegelhalter, David J.; De Angelis, Daniela: Conflict diagnostics in directed acyclic graphs, with applications in Bayesian evidence synthesis (2013)

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