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]

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simul.pdf |simul.html✨
simul/json (API)
NEWS

# 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:

eif - Simulated Efficient Influence Functions

On CRAN:

bootstrap confidence-intervals non-parametric-statistics

2.40 score 5 stars 3 scripts 9 downloads 1 exports 1 dependencies

Last updated 3 years agofrom:a7db439ac1. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 04 2024
R-4.5-win-x86_64	OK	Nov 04 2024
R-4.5-linux-x86_64	OK	Nov 04 2024
R-4.4-win-x86_64	OK	Nov 04 2024
R-4.4-mac-x86_64	OK	Nov 04 2024
R-4.4-mac-aarch64	OK	Nov 04 2024
R-4.3-win-x86_64	OK	Nov 04 2024
R-4.3-mac-x86_64	OK	Nov 04 2024
R-4.3-mac-aarch64	OK	Nov 04 2024