person(given = "Takeshi",
family = "Abe",
role = c("aut", "cre"),
email = "tabe@fixedpoint.jp",
comment = c(ORCID = "0000-0002-7074-4561"))
Higher-order spectra or polyspectra of time series, such as bispectrum and bicoherence, have been investigated in abundant literature and applied to problems of signal detection in a wide range of fields. This package aims to provide a simple API to estimate and analyze them. The current implementation is based on Brillinger and Irizarry (1998) <doi:10.1016/S0165-1684(97)00217-X> for estimating bispectrum, with Lii and Helland (1981) <doi:10.1145/355958.355961> for cross-bispectrum.
ggplot2, knitr, rgl, rmarkdown, testthat (>= 2.1.0)

Higher-order spectra or polyspectra of time series, such as bispectrum and bicoherence, have been investigated in abundant literature and applied to problems of signal detection in a wide range of fields. This package aims to provide a simple API to estimate and analyze them. The current implementation is based on Brillinger and Irizarry (1998) <doi:10.1016/S0165-1684(97)00217-X> for estimating bispectrum or bicoherence, Lii and Helland (1981) <doi:10.1145/355958.355961> for cross-bispectrum, and Kim and Powers (1979) <doi:10.1109/TPS.1979.4317207> for cross-bicoherence.
ggplot2, knitr, rmarkdown, testthat (>= 2.1.0)

Side effect risks in hospital : simulation and estimation
Evaluating risk (that a patient arises a side effect) during hospitalization is the main purpose of this package. Several methods (Parametric, non parametric and De Vielder estimation) to estimate the risk constant (R) are implemented in this package. There are also functions to simulate the different models of this issue in order to quantify the previous estimators. It is necessary to read the first six pages of the report to understand the problem.

Thu Feb 14 17:45:43 2008; christophedutang

Evaluating risk (that a patient arises a side effect) during hospitalization is the main purpose of this package. Several methods (Parametric, non parametric and De Vielder estimation) to estimate the risk constant (R) are implemented in this package. There are also functions to simulate the different models of this issue in order to quantify the previous estimators. It is necessary to read at least the first six pages of the report to understand the problematic.
Tue Feb 10 08:16:13 2009; christophedutang