summary.gbi_null: Summarise results of Group-By-Individual Randomisations
In MNWeiss/aninet: Statistical Models for Animal Social Networks
View source: R/gbi_null_models.R
summary.gbi_null R Documentation
Summarise results of Group-By-Individual Randomisations
Description
Generate relevant summaries of null hypothesis testing using MCMC randomisations of group-by-individual matrices
Usage
## S3 method for class 'gbi_null'
summary(x)
Arguments
x
a gbi_null object as produced by gbi_MCMC
Details
The function first produces a summary of the null distribution, with mean, median, SD, confidence intervals, and diagnostics (effective sample size and potential scale reduction factor).
The function then shows estimated upper, lower, and two-tailed p-values of the observed values against the null. The output includes confidence intervals for the p-values, which are estimated from the effective sample size using binomial theory.
MNWeiss/aninet documentation built on Jan. 31, 2023, 3:55 a.m.
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View source: R/gbi_null_models.R
| summary.gbi_null | R Documentation |
Summarise results of Group-By-Individual Randomisations
Description
Generate relevant summaries of null hypothesis testing using MCMC randomisations of group-by-individual matrices
Usage
## S3 method for class 'gbi_null' summary(x)
Arguments
x |
a |
Details
The function first produces a summary of the null distribution, with mean, median, SD, confidence intervals, and diagnostics (effective sample size and potential scale reduction factor). The function then shows estimated upper, lower, and two-tailed p-values of the observed values against the null. The output includes confidence intervals for the p-values, which are estimated from the effective sample size using binomial theory.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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