Title: Calculate TL-Moments and Convert Them to Distribution Parameters
Description: Calculates empirical TL-moments (trimmed L-moments) of arbitrary
order and trimming, and converts them to distribution parameters.
Suggests: magrittr, knitr, lmomco, Lmoments, lmom
Packaged: 2017-01-18 17:22:42 UTC; lilienthal

Suggests: magrittr, knitr, lmomco, Lmoments, lmom, microbenchmark
Packaged: 2017-01-16 10:35:37 UTC; lilienthal

Suggests: magrittr, knitr, lmomco, Lmoments, lmom, evd
Packaged: 2017-04-07 11:54:31 UTC; lilienthal

Suggests: evd, knitr, magrittr, lmom, lmomco, Lmoments, rmarkdown

Packaged: 2019-04-30 09:55:24 UTC; lilienthal

Packaged: 2019-08-19 12:31:53 UTC; lilienthal

Packaged: 2021-02-22 09:07:06 UTC; lilienthal

Imports: hypergeo, ggplot2, stats, lmomco
Suggests: evd, knitr, magrittr, lmom, Lmoments, rmarkdown
Packaged: 2021-03-04 11:28:41 UTC; lilienthal

Title: Tools for Thermoluminescences Dating
Description: A series of function to make thermoluminescence dating using the MAAD or the SAR protocol.
This package completes the R package "Luminescence."

Imports: methods, Luminescence (>= 0.5.0), gplots

Title: Template Model Builder: A General Random Effect Tool Inspired by
Description: With this tool, a user should be able to quickly implement complex
random effect models through simple C++ templates. The package combines
CppAD (C++ automatic differentiation), Eigen (templated matrix-vector
library) and CHOLMOD (sparse matrix routines available from R) to obtain an
efficient implementation of the applied Laplace approximation with exact
derivatives. Key features are: Automatic sparseness detection, parallelism
through BLAS and parallel user templates.
Imports: graphics, methods, stats, utils, Matrix (>= 1.0-12)

Author: Kasper Kristensen [aut, cre, cph],

'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector
library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an
through 'BLAS' and parallel user templates.

Description: With this tool, a user should be able to quickly implement
complex random effect models through simple C++ templates. The package combines
library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain
an efficient implementation of the applied Laplace approximation with exact