bayesboot | An R package implementing Rubin 's Bayesian bootstrap | Analytics library

by rasmusab R Version: v0.2.2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | bayesboot Summary

bayesboot is a R library typically used in Analytics, Deep Learning applications. bayesboot has no bugs, it has no vulnerabilities and it has low support. However bayesboot has a Non-SPDX License. You can download it from GitHub.

The bayesboot package implements a function bayesboot that performs the Bayesian bootstrap introduced by Rubin (1981). The implementation can both handle summary statistics that works on a weighted version of the data or that works on a resampled data set.

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Support

bayesboot has a low active ecosystem.

It has 45 star(s) with 6 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bayesboot is v0.2.2

Quality

bayesboot has 0 bugs and 0 code smells.

Security

bayesboot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

bayesboot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

bayesboot has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

bayesboot releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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bayesboot Key Features

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bayesboot Examples and Code Snippets

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Community Discussions

Trending Discussions on bayesboot

Change the xlab" in the plot from the bayesboot function

QUESTION

Change the xlab" in the plot from the bayesboot function

Asked 2020-Aug-13 at 17:17

# install.packages("bayesboot")
library(bayesboot)
dat <- data.frame(tee = c("de", "gf", "ss", "oi", "po", "pe"),
                   too = c(32, 45, 22, 98, 9, 255))

bp <- bayesboot::bayesboot(dat$too)

...

ANSWER

Answered 2020-Aug-13 at 17:14

Method bayesboot:::plot.bayesboot is internally using attr(bp, "statistic.label") as xlab and overwrites your command. Change it.

Source https://stackoverflow.com/questions/63399414

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install bayesboot

You can download it from GitHub.

Support

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