2007-03-21 Søren Højsgaard * A remark on fixed correlation structures has been added to the geeglm.Rd doc file. * A Wishlist file has been added * Version 1.0-13 uploaded 2007-03-21 Søren Højsgaard * Bug in geeglm fixed so that it now works with a fixed correlation structure. Thanks to Ulrich Halekoh for the fix. 2006-02-13 Jun Yan * Bug in genZcor and genZodds fixed. Thanks to Chongzhi Di . Previously, the matrice generated by genZcor/genZodds are wrong when the number of unique waves is greater than or equal to 10. 2006-01-24 Søren Højsgaard * Bug in anova.geeglm fixed (showed up when there was only one term on the right hand side of ~). * geeglm only works on complete data. This has been pointed out in the man pages. (At some point of time, a proper na.action should be taken). * All datasets are saved as .txt files (previously some were saved as .rda files but that caused problems in building the package on windows xp). 2005-08-13 Jun Yan * The working correlation structure can now be "fixed". 2005-06-13 Søren Højsgaard * Søren Højsgaard has modified the geeglm function so that it can take the 'waves' argument which is used for explicitely specifying the ordering of repeated measurements on the same unit. geeglm can also take the 'zcor' argument for a user defined working correlation structure. * A documentation file for the genZcor function has been added. * All data sets provided are now saved as text files. * ordgee has been modified to check if the response variable is an ordered factor. * geeglm can now take the argument std.err which specifies the type of variance estimate to be calculated. 2005-05-11 Søren Højsgaard * Søren Højsgaard has modified the anova function to make it calculate the correct degrees of freedom. 2005-04-11 Jun Yan * Søren Højsgaard made some minor changes to geeglm - basically, that geese.control did not work. Now it does. 2005-02-09 Jun Yan * Søren Højsgaard joined the development with geeglm, which "works like" glm and returns an object which is similar to a glm object. Residuals and predicted values can be extracted using the generic functions as with a glm object. * An important feature of geeglm, is that an anova method exists for these models.