Author: Christopher W. Laws, Frank A. Schmid
Maintainer: Christopher W. Laws <chris_laws@ncci.com>
Depends: R (>= 2.9.2), methods, rjags (>= 1.0.3-11), filehash,
Description: Loss Development for Insurance Triangles

Depends: R (>= 2.11.1), methods, rjags (>= 2.1.0-5), filehash,

Depends: R (>= 2.13.1), methods, rjags (>= 3-3), filehash, logspline,

Depends: R (>= 2.13.1), methods, rjags (>= 3-3), logspline, utils

Title: A Simple Way to Specify Symmetric, Block Diagonal Matrices
role = c("aut", "cre"), email = "matthew.fidler@gmail.com",
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>
Description: Provides a simple mechanism to specify a symmetric block diagonal matrices (often
used for covariance matrices).  This is based on the domain specific language implemented
in 'nlmixr' but expanded to create matrices in R generally instead of specifying parts of matrices
Author: Matthew L. Fidler [aut, cre] (<https://orcid.org/0000-0001-8538-6691>)

Suggests: testthat, covr, knitr, rmarkdown, Matrix, microbenchmark,

person("Matthew L.", "Fidler", , "matthew.fidler@gmail.com", role = c("aut", "cre"),
Description: Provides a simple mechanism to specify a symmetric block
diagonal matrices (often used for covariance matrices).  This is based
on the domain specific language implemented in 'nlmixr2' but expanded
to create matrices in R generally instead of specifying parts of
Suggests: ggplot2, knitr, Matrix, microbenchmark, rmarkdown, testthat

Description: Performs the trimmed k-means clustering algorithm with lower memory use. It also provides a number of utility functions such as BIC calculations.

Author: Andrew Thomas Jones, Hien Duy Nguyen

Authors@R: c(person("Pein", "Florian", role = c("aut", "cre"), email = "fpein@maths.cam.ac.uk"),
person("Inder", "Tecuapetla-Gómez", role = "ctb", email = "itecuapetla@conabio.gob.mx"))
Imports: Rcpp (>= 0.12.3), stats, methods
Description: Creates lowpass filters which are commonly used in ion channel recordings. It supports generation of random numbers that are filtered, i.e. follow a model for ion channel recordings, see <doi:10.1109/TNB.2018.2845126>. Furthermore, time continuous convolutions of piecewise constant signals with the kernel of lowpass filters can be computed.