R (>= 2.9.2), methods, rjags (>= 1.0.3-11), filehash,
logspline, utils
Loss Development for Insurance Triangles
'zzz.R' 'LossDevModelInput.R' 'AnnualAggLossDevModelInput.R'
'LossDevModelOutput.R' 'NodeOutput.R'
'AnnualAggLossDevModelOutput.R'
'BreakAnnualAggLossDevModelOutput.R'
'StandardAnnualAggLossDevModelOutput.R'
'AnnualAggLossDevModelOutputWithZeros.R'
'BreakAnnualAggLossDevModelInput.R' 'DocumentationOfData.R'
'lossDev.R' 'StandardAnnualAggLossDevModelInput.R' 'util.R'

R (>= 2.11.1), methods, rjags (>= 2.1.0-5), filehash,
logspline, utils

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

R (>= 2.13.1), methods, rjags (>= 3-3), logspline, utils
'zzz.R' 'LossDevModelInput.R' 'AnnualAggLossDevModelInput.R'
'LossDevModelOutput.R' 'NodeOutput.R'
'AnnualAggLossDevModelOutput.R'
'BreakAnnualAggLossDevModelOutput.R'
'StandardAnnualAggLossDevModelOutput.R'
'AnnualAggLossDevModelOutputWithZeros.R'
'BreakAnnualAggLossDevModelInput.R' 'DocumentationOfData.R'
'StandardAnnualAggLossDevModelInput.R' 'lossDev.R' 'util.R'

A Simple Way to Specify Symmetric, Block Diagonal Matrices
c(person("Matthew L.","Fidler",
role = c("aut", "cre"), email = "matthew.fidler@gmail.com",
comment=c(ORCID="0000-0001-8538-6691")))
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
to estimate.
Matthew L. Fidler [aut, cre] (<https://orcid.org/0000-0001-8538-6691>)

testthat, covr, knitr, rmarkdown, Matrix, microbenchmark,
ggplot2

person("Matthew L.", "Fidler", , "matthew.fidler@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-8538-6691"))
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
matrices to estimate.
ggplot2, knitr, Matrix, microbenchmark, rmarkdown, testthat