bayestestR | :ghost: Utilities for analyzing Bayesian models and posterior distributions | Development Tools library

 by   easystats R Version: v0.9.0 License: GPL-3.0

kandi X-RAY | bayestestR Summary

kandi X-RAY | bayestestR Summary

bayestestR is a R library typically used in Utilities, Development Tools applications. bayestestR has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

:warning: We changed the default the CI width! Please make an informed decision and set it explicitly (ci = 0.89, ci = 0.95 or anything else that you decide) :warning:. Existing R packages allow users to easily fit a large variety of models and extract and visualize the posterior draws. However, most of these packages only return a limited set of indices (e.g., point-estimates and CIs). bayestestR provides a comprehensive and consistent set of functions to analyze and describe posterior distributions generated by a variety of models objects, including popular modeling packages such as rstanarm, brms or BayesFactor.
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            kandi-support Support

              bayestestR has a low active ecosystem.
              It has 517 star(s) with 53 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 36 open issues and 297 have been closed. On average issues are closed in 43 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of bayestestR is v0.9.0

            kandi-Quality Quality

              bayestestR has 0 bugs and 0 code smells.

            kandi-Security Security

              bayestestR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              bayestestR code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              bayestestR is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              bayestestR releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            bayestestR Key Features

            No Key Features are available at this moment for bayestestR.

            bayestestR Examples and Code Snippets

            No Code Snippets are available at this moment for bayestestR.

            Community Discussions

            QUESTION

            Two-parameter Bayesian credibility Interval
            Asked 2022-Jan-04 at 00:04

            How can I determine the confidence/credibility intervals for the posterior estimates of a multi-parameter model?

            I can get the confidence interval for each parameter separately. (Currently using bayestestR, but I don't mind using something else)

            ...

            ANSWER

            Answered 2022-Jan-03 at 17:42

            Here's one base-R-plotting solution, which plots a 95% highest posterior density region based on a 2-D kernel density estimate:

            Source https://stackoverflow.com/questions/70569213

            QUESTION

            Dot-and-whiskers error when plotting multiple regressions in R
            Asked 2021-Oct-17 at 19:24

            I have followed the code on this solution to plot multiple regressions using dot-and-whiskers, but receive the following error when trying to replicate results and when running the code with my own data and models:

            ...

            ANSWER

            Answered 2021-Oct-17 at 19:24

            I found a solution to my own question using tidy models, as suggested here.

            Source https://stackoverflow.com/questions/69600933

            QUESTION

            bayestestR for Bayesian Logistic Regression
            Asked 2021-Jun-29 at 12:23

            I would like to perform Bayesian Logistic Regression using the bayestestR and rstanarm in R. The output, I believe, is in the log(odds ratio). Do you know of a way in which I can convert everything, i.e. the centrality, uncertainty, existence and significance indices into odds ratio instead. I know tbl_summary function from gtsummary package has an argument, exponentiate = TRUE that returns everything in OR.

            Code:

            ...

            ANSWER

            Answered 2021-Jun-29 at 12:23

            I'd recommend using the parameters package which uses bayestestR internally but is more flexible:

            Source https://stackoverflow.com/questions/68176311

            QUESTION

            Shaded area under different density curves (grouping factor) in the same plot
            Asked 2020-Oct-07 at 16:20

            I am trying to plot a density line with and want to shade or fill only the area associated with the 95% of the x axis. I am trying to follow answers given in the attached answers, but non of them talk about shading an area when we are plotting more than one distributions at the same time with a grouping factor. In this case the grouping factor is the different central electrodes ("Fz", "Cz, "Pz"). I am trying to visualise something similar to the highest density interval, or the area under the curve comprising between percentile 5 and 95.

            Area Under Curve AUC by Group

            My data looks something like this:

            ...

            ANSWER

            Answered 2020-Oct-07 at 16:20

            Since you need to do some maths on the density curves to work out where the 95% intervals are, it is best to do this outside ggplot. I often find that people run into problems because they try to get ggplot to do too much of their data wrangling and summarizing. It is often easier to work out what you want to plot, then plot it.

            In your case, your x and y co-ordinates already represent densities. For each Electrode, you just need to create a logical vector that tells you when the integral of the density is between 0.025 and 0.975, so that you can easily subset out the 95% confidence interval. You can do that using the split-aplly-bind method like this:

            Source https://stackoverflow.com/questions/64227409

            QUESTION

            Get mean and interval from simulated var
            Asked 2020-Sep-02 at 20:48

            I have a dataset like this:

            ...

            ANSWER

            Answered 2020-Sep-02 at 20:48

            It becomes clearer when you do not assign your first line of code:

            Source https://stackoverflow.com/questions/63711978

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

            Vulnerabilities

            No vulnerabilities reported

            Install bayestestR

            Run the following to install the stable release of bayestestR from CRAN:.

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