wedgePerf: Performance of wedge probability computation

In rcqls/wedge: Computing wedge probabilities using R and Rcpp

Description

Returns running times for vectors of wedge probabilities under different implementations.

Usage

wedge.perf(nbs.exp=c(10^6,10^7,10^8),tests=c("R","Rcpp","RcppParallel"),seed=10,N=3,nbs.threads=c(4,6,8),summary.print=FALSE)

Arguments

nbs.exp	vector of integer: numbers of wedge probabilities to be computed
tests	vector of character: different implementations to be compared
seed	numeric: random seed to fix
N	integer: number of probabilities to be computed
nbs.threads	vector of integer: numbers of threads
summary.print	logical: if TRUE the summary of outputs is printed to check the results.

Details

Compares the performance of different implementations for wedge probability computation.

Value

a list of system times.

Author(s)

R\'emy Drouilhet and Bernard Ycart

References

B. Ycart and R. Drouilhet (2016) Computing wedge probabilities. arXiv:1612.05764

Examples

perfs <- wedge.perf()
perfs

rcqls/wedge documentation built on May 27, 2019, 3:05 a.m.