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Wrapped: An R package for circular data

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  • Saralees Nadarajah
  • Yuanyuan Zhang

Abstract

The Wrapped package computes the probability density function, cumulative distribution function, quantile function and also generates random samples for many univariate wrapped distributions. It also computes maximum likelihood estimates, standard errors, confidence intervals and measures of goodness of fit for nearly fifty univariate wrapped distributions. Numerical illustrations of the package are given.

Suggested Citation

  • Saralees Nadarajah & Yuanyuan Zhang, 2017. "Wrapped: An R package for circular data," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-26, December.
    • Handle: RePEc:plo:pone00:0188512
    DOI: 10.1371/journal.pone.0188512
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    References listed on IDEAS

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    1. Jürgen Franke & Claudia Redenbach & Na Zhang, 2016. "On a Mixture Model for Directional Data on the Sphere," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(1), pages 139-155, March.
    2. Fangpo Wang & Alan E. Gelfand, 2014. "Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1565-1580, December.
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    Cited by:

    1. Jeon, Jeong Min & Van Keilegom, Ingrid, 2023. "Density estimation for mixed Euclidean and non-Euclidean data in the presence of measurement error," Journal of Multivariate Analysis, Elsevier, vol. 193(C).
    2. Aerambamoorthy Thavaneswaran & Nalini Ravishanker, 2023. "Estimating Functions for Circular Time Series Models," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 198-213, February.
    3. Marco Bee, 2018. "Estimating the wrapped stable distribution via indirect inference," DEM Working Papers 2018/11, Department of Economics and Management.

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