{"id":133,"date":"2016-08-02T23:01:05","date_gmt":"2016-08-03T03:01:05","guid":{"rendered":"https:\/\/sites.temple.edu\/yongtang\/?page_id=133"},"modified":"2023-05-27T17:11:11","modified_gmt":"2023-05-27T21:11:11","slug":"software","status":"publish","type":"page","link":"https:\/\/sites.temple.edu\/yongtang\/software\/","title":{"rendered":"Software"},"content":{"rendered":"<ul>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/v2ds7pbvmqig0eq\/code%20and%20data.rar?dl=0\">An example<\/a> of Hu, Chen, Leng, and Tang (Annals of Applied Statistics, to appear).<\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/sh\/evpz87xet7z4drx\/AAD5jQIiBhJm1wKAqnMIS7p4a?dl=0\">Numerical examples<\/a> of Guo, Chen, and Tang (Journal of Econometrics, 2023).<\/li>\n<li>An<a href=\"https:\/\/cran.r-project.org\/web\/packages\/jmdl\/index.html\"> R package jmdl<\/a> for joint mean-correlation regression modeling with discrete longitudinal data of Tang, Zhang, and Leng (Statistica Sinica, 2019).<\/li>\n<li>An <a href=\"https:\/\/cran.r-project.org\/web\/packages\/varjmcm\/index.html\">R package varjmcm<\/a> for the variance estimations of the joint longitudinal modeling approaches, e.g., the one of Zhang, Leng, and Tang (JRSSB, 2015).<\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/vilvfeyhdiq5xgt\/seizure.R?dl=0\">An R example<\/a> of Tang, Zhang, and Leng (Statistica Sinica, 2019).<\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/8r40b7kvwo97l3y\/B12065Zhang.zip?dl=0\">An example<\/a> of Zhang, Leng, and Tang (JRSSB, 2015).<\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/c0w6wsj7q4a5v0s\/pel.tar?dl=0\">R code<\/a> and<a href=\"https:\/\/www.dropbox.com\/s\/klcppfjja2lzhyw\/pel-ex.r?dl=0\"> an Example<\/a> of Tang and Leng (Biometrika, 2010) and Leng and Tang (Biometrika,2012).<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>An example of Hu, Chen, Leng, and Tang (Annals of Applied Statistics, to appear). Numerical examples of Guo, Chen, and Tang (Journal of Econometrics, 2023). An R package jmdl for joint mean-correlation regression modeling with discrete longitudinal data of Tang, &hellip; <a href=\"https:\/\/sites.temple.edu\/yongtang\/software\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":5170,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-133","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.temple.edu\/yongtang\/wp-json\/wp\/v2\/pages\/133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.temple.edu\/yongtang\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.temple.edu\/yongtang\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/yongtang\/wp-json\/wp\/v2\/users\/5170"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/yongtang\/wp-json\/wp\/v2\/comments?post=133"}],"version-history":[{"count":2,"href":"https:\/\/sites.temple.edu\/yongtang\/wp-json\/wp\/v2\/pages\/133\/revisions"}],"predecessor-version":[{"id":393,"href":"https:\/\/sites.temple.edu\/yongtang\/wp-json\/wp\/v2\/pages\/133\/revisions\/393"}],"wp:attachment":[{"href":"https:\/\/sites.temple.edu\/yongtang\/wp-json\/wp\/v2\/media?parent=133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}