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Recent questions tagged regression
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regression - How do I run an exponential nls with seasonal dummies in R?
I'm having trouble with running an nls regression with seasonal dummies in R. I'm able to do it without ... I include seasonal dummies? Thanks! See Question&Answers more detail:os...
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regression - Fama MacBeth standard errors in R
Does anyone know if there is a package that would run Fama-MacBeth regressions in R and calculate the standard ... with respect to Fama-MacBeth. See Question&Answers more detail:os...
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Oct 24, 2021
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regression - Fama MacBeth standard errors in R
Does anyone know if there is a package that would run Fama-MacBeth regressions in R and calculate the standard ... with respect to Fama-MacBeth. See Question&Answers more detail:os...
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Oct 24, 2021
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regression - How to calculate variance of least squares estimator using QR decomposition in R?
I'm trying to learn QR decomposition, but can't figure out how to get the variance of beta_hat without resorting ... beta) Thanks for your help! See Question&Answers more detail:os...
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regression - evaluate (i.e., predict) a smoothing spline outside R
I fitted a smoothing spline to data in R with library(splines) Model <- smooth.spline(x, y, df =6) I ... of recursive code? Any help here? See Question&Answers more detail:os...
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Oct 24, 2021
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regression - Highcharts - Get crossing point of crossing series
I am currently trying to extract the points of multiple crossings of series (a,b,c,d) of a specific series ... is rather difficult to utilize. See Question&Answers more detail:os...
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Oct 24, 2021
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regression - How to return predicted values, residuals, R square from lm()?
this piece of code will return coefficients :intercept , slop1 , slop2 set.seed(1) n=10 y=rnorm(n) x1= ... whatever I need from the summary? See Question&Answers more detail:os...
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regression - Python natural smoothing splines
I am trying to find a python package that would give an option to fit natural smoothing splines with user ... to make the splines natural. See Question&Answers more detail:os...
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Oct 17, 2021
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regression - Why the built-in lm function is so slow in R?
I always thought that the lm function was extremely fast in R, but as this example would suggest, the closed solution ... 156.7155 262.114 100 b See Question&Answers more detail:os...
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Oct 17, 2021
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regression - Working with neuralnet in R for the first time: get "requires numeric/complex matrix/vector arguments"
I'm in the process of attempting to learn to work with neural networks in R. As a learning problem, I've ... this. Can anyone help? Thanks! See Question&Answers more detail:os...
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regression - R: lm() result differs when using `weights` argument and when using manually reweighted data
In order to correct heteroskedasticity in error terms, I am running the following weighted least squares regression ... the weighting vector? See Question&Answers more detail:os...
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Oct 17, 2021
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