Package: PPMiss Type: Package Date: 2026-02-18 Title: Copula-Based Estimator for Long-Range Dependent Processes under Missing Data Version: 0.1.2 Authors@R: c(person("Taiane Schaedler","Prass", email = "taianeprass@gmail.com", role = c("aut","cre","com"), comment = c(ORCID="0000-0003-3136-909X")), person("Guilherme","Pumi", email = "guilherme.pumi@ufrgs.br", role = c("aut","ctb"), comment = c(ORCID="0000-0002-6256-3170"))) Depends: R (>= 4.0.0) Imports: copula, pracma, stats, zoo Description: Implements the copula-based estimator for univariate long-range dependent processes, introduced in Pumi et al. (2023) . Notably, this estimator is capable of handling missing data and has been shown to perform exceptionally well, even when up to 70% of data is missing (as reported in ) and has been found to outperform several other commonly applied estimators. License: GPL (>= 3) Encoding: UTF-8 NeedsCompilation: yes RoxygenNote: 7.3.3 Packaged: 2026-10-17 07:50:54 UTC; root Author: Taiane Schaedler Prass [aut, cre, com] (ORCID: ), Guilherme Pumi [aut, ctb] (ORCID: ) Maintainer: Taiane Schaedler Prass Config/pak/sysreqs: libgsl0-dev Repository: https://tsprass.r-universe.dev Date/Publication: 2026-02-18 23:20:02 UTC RemoteUrl: https://github.com/cran/PPMiss RemoteRef: HEAD RemoteSha: 8453c8d1a41ece6bfed90ef028492c4bbf569044