Experts, I have try to do seperate and doing simulation on lm.dibp (bivpois). I edited some elements to fit my soccer scores model. The static model has completed, I try to biuld a weight function for dynamic model as refer to dixon & coles(1997). existing weighted function in bivpois for zero-inflated purpose = "internal.data1$v1" dixon & coles dynamical weighted function = "weighted.data"
May I know how to joined these two weighted function and fit into glm? I am not really know how to apply these two function correctly into glm. From: ryusuke <ryusukekenji_at_hotmail.com> Date: Wed, 09 Dec 2009 10:03:08 -0800 (PST) http://n4.nabble.com/file/n956255/TimeSeries%2BLikelihood.jpg >From the attachment, I need to find out the maximum likelihood value of þ, while I stuck to write in R codes. I will appreciate of experts advices. Thanks. ryusuke wrote: > > > To R programming experts, > > I am a undergraduate student, and now doing research personally. I apply > diagonal bivariate poisson (R package "bivpois") with stochatics weighted > function (refer to dixoncoles97 section 4.5 to 4.7). However I dont know > how to fit this stochatical weighted function to the completed bivariate > poisson model. > > I know that some other references for dynamic soccer team rating apply > below two methods, while I am not familiar with these method:- > 1. Brownian Motions > ifs (CRAN package) > sde (CRAN package) > dvfBm (CRAN package) > > 2. Kalman Filters > FKF (CRAN package) > KFAS (CRAN package) > > Hereby I attach some references. I upload the model in R programming file > "model.RData" in my skydrive as well. > > I will appreciate if prof would sharing your precious advice or > suggestion. Thank you. > > > Best Regards, > > Ryusuke > A Soccer Scores Modelling Enthursiast > > > _________________________________________________________________ > USBãÆÂ¡Ã£ÆÂ¢Ã£ÆÂªÃ¤Â»Â£Ã£âÂãâŠã«ãŠ使ãÂâãÂÂã > ãÂâ¢Ã£Ââãâ¬âçâ¡æââ¢Ã£Â§ä½¿ãÂËãââ¹25GBãâ¬â > > > > > > ______________________________________________ > R-help_at_r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. _________________________________________________________________ ç¡æã§ä½¿ãã25GBãUSBã¡ã¢ãªã®ä»£ããã«ãWebã«ä¿å http://skydrive.live.com/?showunauth=1&mcid=HomeliveMerchBox1 [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.