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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Tidy a(n) btergm object</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for tidy.btergm {broom}"><tr><td>tidy.btergm {broom}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Tidy a(n) btergm object</h2> <h3>Description</h3> <p>Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return. </p> <p>This method tidies the coefficients of a bootstrapped temporal exponential random graph model estimated with the <span class="pkg">xergm</span>. It simply returns the coefficients and their confidence intervals. </p> <h3>Usage</h3> <pre> ## S3 method for class 'btergm' tidy(x, conf.level = 0.95, exponentiate = FALSE, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>x</code></td> <td> <p>A <code><a href="../../btergm/html/btergm.html">btergm::btergm()</a></code> object.</p> </td></tr> <tr valign="top"><td><code>conf.level</code></td> <td> <p>Confidence level for confidence intervals. Defaults to 0.95.</p> </td></tr> <tr valign="top"><td><code>exponentiate</code></td> <td> <p>Logical indicating whether or not to exponentiate the the coefficient estimates. This is typical for logistic and multinomial regressions, but a bad idea if there is no log or logit link. Defaults to <code>FALSE</code>.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>Additional arguments. Not used. Needed to match generic signature only. <strong>Cautionary note:</strong> Misspelled arguments will be absorbed in <code>...</code>, where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass <code>conf.lvel = 0.9</code>, all computation will proceed using <code>conf.level = 0.95</code>. Additionally, if you pass <code>newdata = my_tibble</code> to an <code><a href="reexports.html">augment()</a></code> method that does not accept a <code>newdata</code> argument, it will use the default value for the <code>data</code> argument.</p> </td></tr> </table> <h3>Value</h3> <p>A <code><a href="../../tibble/html/tibble.html">tibble::tibble()</a></code> with columns: </p> <table summary="R valueblock"> <tr valign="top"><td><code>conf.high</code></td> <td> <p>Upper bound on the confidence interval for the estimate.</p> </td></tr> <tr valign="top"><td><code>conf.low</code></td> <td> <p>Lower bound on the confidence interval for the estimate.</p> </td></tr> <tr valign="top"><td><code>estimate</code></td> <td> <p>The estimated value of the regression term.</p> </td></tr> <tr valign="top"><td><code>term</code></td> <td> <p>The name of the regression term.</p> </td></tr> </table> <h3>See Also</h3> <p><code><a href="reexports.html">tidy()</a></code>, <code><a href="../../btergm/html/btergm.html">btergm::btergm()</a></code> </p> <h3>Examples</h3> <pre> library(btergm) set.seed(1) # Create 10 random networks with 10 actors networks <- list() for (i in 1:10) { mat <- matrix(rbinom(100, 1, .25), nrow = 10, ncol = 10) diag(mat) <- 0 nw <- network::network(mat) networks[[i]] <- nw } # Create 10 matrices as covariates covariates <- list() for (i in 1:10) { mat <- matrix(rnorm(100), nrow = 10, ncol = 10) covariates[[i]] <- mat } # Fit a model where the propensity to form ties depends # on the edge covariates, controlling for the number of # in-stars btfit <- btergm(networks ~ edges + istar(2) + edgecov(covariates), R = 100) # Show terms, coefficient estimates and errors tidy(btfit) # Show coefficients as odds ratios with a 99% CI tidy(btfit, exponentiate = TRUE, conf.level = 0.99) </pre> <hr /><div style="text-align: center;">[Package <em>broom</em> version 0.7.0 <a href="00Index.html">Index</a>]</div> </body></html>