diptest

R package diptest: Hartigan’s Dip Test Statistic for Unimodality - Corrected. Compute Hartigan’s dip test statistic for unimodality / multimodality and provide a test with simulation based p-values, where the original public code has been corrected.

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References in zbMATH (referenced in 8 articles )

Showing results 1 to 8 of 8.
Sorted by year (citations)

  1. Shehadeh, Karmel S.; Cohn, Amy E. M.; Jiang, Ruiwei: A distributionally robust optimization approach for outpatient colonoscopy scheduling (2020)
  2. Roy, Arkaprava; Ghosal, Subhashis; Prescott, Jeffrey; Choudhury, Kingshuk Roy: Bayesian modeling of the structural connectome for studying Alzheimer’s disease (2019)
  3. Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodríguez-Casal: Multimode: An R Package for Mode Assessment (2018) arXiv
  4. Lee, Seonmi; Jang, Woncheol; Park, Byeong U.: Kernel excess mass test for multimodality (2018)
  5. Neville, Zachariah; Brownstein, Naomi C.: Macros to conduct tests of multimodality in SAS (2018)
  6. Voříšek, Jan: Estimation and bimodality testing in the cusp model. (2018)
  7. Zachariah Neville, Naomi Brownstein: Macros to Conduct Tests of Multimodality in SAS (2018) arXiv
  8. Andrade, Bernardo B.; Rathie, Pushpa N.: Fitting asymmetric bimodal data with selected distributions (2016)