[R] heteroscedastic bivariate distribution with linear regression - prediction interval
Dear forum, which is the most suitable method to get the prediction interval of a bivariate normal distribution which is consistent with a linear model y = ax + b? I assume it is gls + predict. Am I correct? I'm rather new to R. Is there some reliable sample code for that problem? Thank you best regards -- View this message in context: http://r.789695.n4.nabble.com/heteroscedastic-bivariate-distribution-with-linear-regression-prediction-interval-tp3981793p3981793.html Sent from the R help mailing list archive at Nabble.com. __ 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.
[R] Single line command for variance of marginal distribution in 2 D linear regression?
Dear forum, we have a 2 dimensional normal distribution of (x, y) which is consistent with a linear regression modell of type y = ax + b. It has a heteroscedastic variance. Is there a straight and simple way with R to get the variance of the marginal distribution W(y|x=xi) where xi may be randomly chosen? Maybe a single line command? Thank you best regards -- View this message in context: http://r.789695.n4.nabble.com/Single-line-command-for-variance-of-marginal-distribution-in-2-D-linear-regression-tp3955727p3955727.html Sent from the R help mailing list archive at Nabble.com. __ 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.
