Package: simul 0.1.2

Nicholas Williams

simul: Fast Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap

Compute critical values for constructing uniform (simultaneous) confidence bands. The critical value is calculated using a multiplier bootstrap of the empirical efficient influence function as described by Kennedy (2019) <doi:10.1080/01621459.2017.1422737>. The multiplier bootstrap does not require resampling of the data but only simulation of the multipliers and is thus computationally efficient.

Authors:Nicholas Williams [aut, cre, cph]

simul_0.1.2.tar.gz
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simul_0.1.2.tgz(r-4.6-x86_64)simul_0.1.2.tgz(r-4.6-arm64)simul_0.1.2.tgz(r-4.5-x86_64)simul_0.1.2.tgz(r-4.5-arm64)
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simul_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
simul/json (API)

# Install 'simul' in R:

install.packages('simul', repos = c('https://nt-williams.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nt-williams/simul/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

eifs - Simulated Efficient Influence Functions

On CRAN:

bootstrap confidence-intervals non-parametric-statistics cpp

2.40 score 5 stars 3 scripts 3 downloads 1 exports 1 dependencies

Last updated from:ff60bdcada. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	126
linux-devel-x86_64	NOTE	142
source / vignettes	OK	238
linux-release-arm64	NOTE	135
linux-release-x86_64	NOTE	113
macos-release-arm64	NOTE	107
macos-release-x86_64	NOTE	258
macos-oldrel-arm64	NOTE	97
macos-oldrel-x86_64	NOTE	167
windows-devel	NOTE	84
windows-release	NOTE	88
windows-oldrel	NOTE	176
wasm-release	OK	134