Hallo.
Is there any package / code snippet to test the distribution
assumption, heteroskedasticity, omitted variables, and linearity with
the models estimated by maximum likelyhood? I especially need it for
three type of models:
* binary choice (probit and probit with non-normal distribution) --
Hallo.
Is there any package / code snippet to estimate quantile regression
for a binary choice model (like probit) and selection model (like
heckit)? I found that quantreg package can estimate tobit-like model,
but I can't figure out how to tweak it for probit / heckit.
Best wishes,
Michal
Hallo.
First many thanks to its authors for glmx package and hetglm()
function especially. It is absolutely great.
Now, let me ask my question: what model of heteroskedasticity hetglm()
uses? Is the random part of the Gaussian probit model
norm(0, sd = exp(X2*beta2))
where norm is the
Hallo.
Many thanks for your answer. Let me check please that I do understand
it correctly. Does it mean that the estimated log-likelyhood function
is (in the Gaussian case)
sum y * log F(x'b / exp(z'g)) + sum (1 - y) * log(1 - F(x'b / exp(z'g))
where F is standard normal CDF, and the rest is
Hallo.
What are the residuals returned by resid() in this code?
library(AER)
m - tobit(y ~ x1 + x2, data=dat)
rr - resid(m2, type = response)
Can I use them to test the normality of the random variable distribution
this way?
qqnorm(rr)
shapiro.test(rr)
And is it correct to handle
Hallo.
I'm running step() on lm() in R version 2.15.1 within RStudio on my
xUbuntu Linux computer with 4 core processor.
Linux top command states that rsession (R) is using from 100 % to
about 330 % of the processor, which (I think) means that R is using
more than one core. Is it possible? I
Hello.
I have a set of points in 2D. I can construct Voronoi polygons around them
with deldir package and function from this page:
http://stackoverflow.com/questions/9403660/how-to-create-thiessen-polygons-from-points-using-r-packages
What I need is to find the list of all polygon neighbors
Hi.
Is there a way how to find out from within a .Rmd file what output format
is generated?
The reason is this: I write a paper in R markdown in RStudio. Sometimes I
generate .html, sometimes .pdf. My paper presents a table of regression
models using stargazer function. I've got the following
#. rocks...1k
---
Sent from my phone. Please excuse my brevity.
On October 31, 2014 4:56:26 AM PDT, Michal Kvasnička prgo...@gmail.com
wrote:
Hi.
Is there a way how to find out from within a .Rmd file what output
format
Hallo.
I use RStudio. Because of a bug in the latest CRAN version of dplyr, I
installed the GitHub version with install_github(). Now I wonder what
happens when there is a new version. Does RStudio update the packages
installed from GitHub? If so, does it replace it with the new CRAN version,
or
10 matches
Mail list logo
