Title: Wamser Misc: Reading Files by Tokens, Stateful Computations,
Authors@R: person("Markus S.", "Wamser", email = "r-wmisc@devel.wamser.eu",
Description: A tokenizer to read a text file token by token with a very lightweight API, a framework for stateful computations with finite state machines and a few string utility functions.
Suggests: knitr, microbenchmark, rmarkdown, testthat, covr, DiagrammeR
Packaged: 2016-12-09 08:15:21 UTC; Markus Wamser
Maintainer: Markus S. Wamser <r-wmisc@devel.wamser.eu>

Packaged: 2017-02-10 21:19:06 UTC; Markus Wamser

Packaged: 2017-10-03 19:43:11 UTC; Markus Wamser

Packaged: 2018-01-13 19:22:44 UTC; Markus Wamser

Title: Generate Simulated Sawn Timber Strength Grading Data
person("Andreas", "Weidenhiller", email = "a.weidenhiller@holzforschung.at", role = c("cre", "aut"),
person("Anton", "Wegscheider", email = "a.wegscheider@holzforschung.at", role = c("aut"))
Description: Tools for generating simulated sawn timber
strength grading data with a main focus on statistical simulation based on
for Norway spruce sawn timber from Austria and reference values of means and
standard deviations of grade determining properties from literature
for a number of European countries are provided, as well.
Imports: scales, stats, dplyr, rlang (>= 0.4.6), purrr, tibble, tidyr
Suggests: ggplot2, knitr, magrittr, pander, rmarkdown, testthat,
Packaged: 2020-11-05 11:54:29 UTC; Weidenhiller

Imports: stats, dplyr, rlang (>= 0.4.6), purrr, tibble, tidyselect,
Suggests: ggplot2, knitr, magrittr, pander, rmarkdown, scales,
Packaged: 2022-06-14 06:27:55 UTC; Weidenhiller

Title: Fast Matrix Operations via the Woodbury Matrix Identity
Description: A hierarchy of classes and methods for manipulating matrices formed implicitly from the sums of the inverses of other matrices, a situation commonly encountered in spatial statistics and related fields. Enables easy use of the Woodbury matrix identity and the matrix determinant lemma to allow computation (e.g., solving linear systems) without having to form the actual matrix. More information on the underlying linear algebra can be found in Harville, D. A. (1997) <doi:10.1007/b98818>.
Suggests: covr, lintr, testthat, knitr, rmarkdown
Author: Michael Bertolacci [aut, cre, cph]