{"version":"1.0","provider_name":"BIG-S2","provider_url":"https:\/\/www.med.unc.edu\/bigs2","author_name":"Annie Shan","author_url":"https:\/\/www.med.unc.edu\/bigs2\/author\/yshan\/","title":"GENV: Groupwise Envelope Model - BIG-S2","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"y8V50xyi1d\"><a href=\"https:\/\/www.med.unc.edu\/bigs2\/genv\/\">GENV: Groupwise Envelope Model<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.med.unc.edu\/bigs2\/genv\/embed\/#?secret=y8V50xyi1d\" width=\"600\" height=\"338\" title=\"&#8220;GENV: Groupwise Envelope Model&#8221; &#8212; BIG-S2\" data-secret=\"y8V50xyi1d\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","description":"This is a package for fitting the groupwise envelope model. Main function genv fits the groupwise envelope model to the responses and predictors, using the maximum likelihood estimation. Function genvasy provides the asymptotic standard error matrix for estimators. We can find the dimension of the envelope subspase from u_genv. The prediction error for a given &hellip; Read more"}