Description: Perform flexible simulation studies using one or multiple computer cores.
The package is set up to be usable on high-performance clusters in addition
to being run locally, see examples on <https://github.com/SachaEpskamp/parSim>.
Imports: dplyr, parallel, methods, pbapply
Packaged: 2019-06-21 08:00:04 UTC; sachaepskamp

Imports: dplyr, parallel, methods, pbapply, snow

Packaged: 2017-11-09 22:50:11 UTC; sachaepskamp

Description: Tool for producing Pen's parade graphs, useful for visualizing inequalities in income, wages or other variables, as proposed by Pen (1971, ISBN: 978-0140212594). Income or another economic variable is captured by the vertical axis, while the population is arranged in ascending order of income along the horizontal axis. Pen's income parades provide an easy-to-interpret visualization of economic inequalities.

Title: Define and Work with Parameter Spaces for Complex Algorithms
Description: Define parameter spaces, constraints and
dependencies for arbitrary algorithms, to program on such spaces. Also
includes statistical designs and random samplers. Objects are implemented
Imports: backports, checkmate, data.table, mlr3misc, R6
Collate: 'Condition.R' 'Design.R' 'NoDefault.R' 'Param.R' 'ParamDbl.R'

includes statistical designs and random samplers. Objects are
Imports: backports, checkmate, data.table, methods, mlr3misc (>=

Suggests: knitr, lhs, spacefillr, testthat

Imports: backports, checkmate, data.table, mlr3misc (>= 0.4.0), R6

Imports: backports, checkmate, data.table, mlr3misc (>= 0.5.0), R6

Title: Parallel Distance Matrix Computation using Multiple Threads
person("Alexander", "Eckert", role = c("aut", "cre"), email = "info@alexandereckert.com")
Description: A fast parallelized alternative to R's native 'dist' function to
calculate distance matrices for continuous, binary, and multi-dimensional
input matrices with support for a broad variety of distance functions from
the 'stats', 'proxy' and 'dtw' R packages. For ease of use, the 'parDist'
function extends the signature of the 'dist' function and uses the same
parameter naming conventions as distance methods of existing R packages.
The package is mainly implemented in C++ and leverages the 'RcppParallel'
package to parallelize the distance computations with the help of the
'TinyThread' library. Furthermore, the 'Armadillo' linear algebra library
is used for optimized matrix operations during distance calculations. The
curiously recurring template pattern (CRTP) technique is applied to avoid
virtual functions, which improves the Dynamic Time Warping calculations
while keeping the implementation flexible enough to support different step
Imports: Rcpp (>= 0.12.6), RcppParallel (>= 4.3.20)
Suggests: dtw, ggplot2, proxy, highlight, testthat