Given a collection of (N+1)-dimensional real valued vectors with N independent and 1 dependent value, I would like to compute a polynomial of degree 1 (linear), 2 (quadratic) or higher that provides a
I have a regression model for some time series data investigating drug utilisation. The purpose is to fit a spline to a time series and work out 95% CI etc. The model goes as 开发者_如何学运维follows:
Calling all experts on local regression and/or R! I have run into a limitation of the standard loess function in R and hope you have some advice. The current implementation supports only 1-4 predicto
I am applying guantile regression for my data-set (using R). It is easy to produce the nice scatterplot-image with different quantile regression lines
I found from one of my proc logistic report that a certain variable is highly correlated with the intercept. How can I interpret it? What should I change to amend this correlation?
does anybody know how to compute Naglekerkes generalized R Squared for GLMs using R? And does it makes any sence to use it for count data regression?
Because I\'m totally insane (well, there are better reasons but I\'m not allowed to talk about them), what\'s the best approach to port a Git repo to CVS? I haven开发者_运维问答\'t used any Git-specif
I have a set of X-Y values (i.e. a scatter plot) and I want a Pascal routine to generate the coefficients of a Nth orde开发者_运维问答r polynomial that fits those points, in the same way that Excel do
I\'m currently working on a project concerning segmentation of geographical regions based on the plants that grow in each, over multiple significant layers (that is to say, each segmentation layer has
I would first like to say, that I understand that calculating an R^2 value for a non-linear regression isn\'t exactly correct or a valid thing to do.
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