Have been using STATA to run negative binomial regressions in a replication. Not sure what is under the hood on how STATA does this, but wanted to know if there is an R function/package that does the same thing? The R will give me a better idea of how this works, since I can see the code. ...
I would like to force specific variables into glm regressions without fully specifying each one. My real data set has ~200 variables. I haven't been able to find samples of this in my online searching thus far. For example (with just 3 variables): n=200 set.seed(39) samp = data.frame(W1 = runif(n, min = 0, max = 1), W2=runif(n, min ...
Hi all, I have a hobby website based around cars. I can source car sold data with 3 variables: price, mileage and age. If I collect enough data, is it possible to enter an age and mileage and return an extracted price? Assuming same car model in each case. Thanks. BTW I am a programmer not a mathematician so don't assume I know model...
Given time-series data, I want to find the best fitting logarithmic curve. What are good libraries for doing this in either Python or SQL? Edit: Specifically, what I'm looking for is a library that can fit data resembling a sigmoid function, with upper and lower horizontal asymptotes. ...
Hi, I was looking for some kind of a solution for software development teams which spend too much time handling unit test regression problems (about 30% of the time in my case!!!), i.e., dealing with unit tests which fails on a day to day basis. Following is one solution I'm familiar with, which analyzes which of the latest code change...
Hi, I want to run a two stage probit least square regression in R. Does anyone know how to do this? Is there any package out there? I know it's possible to do it using Stata, so I imagine it's possible to do it with R. Thanks in advance, Manoel Galdino ...
I need some pointers for writing a polynomial regression routine for 3-dimensional points (i.e. find the coefficients of an X order polynomial that is fitted to a certain number of 3D points). I've found code for 2D polynomial regression, however, I need to account for a 3rd dimension. I'm looking for code examples and/or explanations....
I've had an idea for a non-linear regression algorithm that I haven't seen before: We fit a simple parametric function, such as a radial basis function, to the data using gradient descent. We find the residual from this and then fit a function to this, repeating this process to reduce the error and build up a collection of superimposed ...
Is it generally accepted that you cannot test code unless the code is setup to be tested? A hypothetical bit of code: public void QueueOrder(SalesOrder order) { if (order.Date < DateTime.Now-20) throw new Exception("Order is too old to be processed"); ... } Some would consider refactoring it into: protected DateTime M...
Hi, Given a set of points, what's the fastest way to fit a parabola to them? Is it doing the least squares calculation or is there an iterative way? Thanks Edit: I think gradient descent is the way to go. The least squares calculation would have been a little bit more taxing (having to do qr decomposition or something to keep things ...