Registry of Victims of State Terrorism in Argentina
c(person(given = "Diego",
family = "Kozlowski",
role = c("aut", "cre"),
email = "diegokoz92@gmail.com",
comment = c(ORCID = "0000-0002-5396-3471")),
person(given = "Demian",
family = "Zayat",
role = "aut",
email = "demian.zayat@gmail.com"),
person(given = "H. Antonio",
family = "Vazquez Brust",
role = "aut",
email = "avazquez@gmail.com"))
Compilation and digitalization of the official registry of victims of state terrorism in Argentina during the last
military coup. The original data comes from RUVTE-ILID (2019) <https://www.argentina.gob.ar/sitiosdememoria/ruvte/informe> and <http://basededatos.parquedelamemoria.org.ar/registros/>. The title, presentes, comes from present in spanish.
Diego Kozlowski [aut, cre] (<https://orcid.org/0000-0002-5396-3471>),
Demian Zayat [aut],
H. Antonio Vazquez Brust [aut]

Chao Deng, Timothy Daley and Andrew D. Smith
Estimating species accumulation curves by rational function approximations to the non-parametric empirical Bayes estimator and by the zero-truncated Negative Binomial distribution.

Estimating the number of species represented r or more times in a random sample.

Predicting the Number of Species in a Random Sample
Estimating the number of species represented at least r times in a random sample.

The relation between the number of species and the number of individuals in a random sample is a classic problem back to Fisher (1943) <doi:10.2307/1411>. We generalize this problem to estimate the number of species represented at least r times in a random sample. In particular when r=1, it becomes the classic problem. We use a mixture of Poisson processes to model sampling procedures and apply a nonparametric empirical Bayes approach to obtain an estimator. For more information on preseqR, see Deng C, Daley T and Smith AD (2015) <doi:10.1007/s40484-015-0049-7> and Deng C and Smith AD (2016) <arXiv:1607.02804v2>.

The relation between the number of species and the number of individuals in a random sample is a classic problem back to Fisher (1943) <doi:10.2307/1411>. We generalize this problem to estimate the number of species represented at least r times in a random sample. In particular when r=1, it becomes the classic problem. We use a mixture of Poisson processes to model sampling procedures and apply a nonparametric empirical Bayes approach to obtain an estimator. For more information on 'preseqR', see Deng C, Daley T and Smith AD (2015) <doi:10.1007/s40484-015-0049-7> and Deng C and Smith AD (2016) <arXiv:1607.02804v2>.