New Release of "fdensity" Package - Version 0.6
by Artur T.
Hello Gretl community,
I am excited to announce the release of version 0.6 of the "fdensity"
package for Gretl. This package allows you to compute and draw
conditional densities of variable x for each value of the discrete
variable d, also known as the "factor."
The key features and changes in this release are as follows:
- Support for various plotting options: We have introduced additional
plotting options to enhance the visualization of the conditional
densities. You now have more flexibility to customize and present your
results effectively.
- Internal refactoring: We have made internal improvements and
optimizations to enhance the package's performance and maintainability.
These changes ensure a smoother user experience and better overall
functionality.
For more detailed information and to access the latest version of the
"fdensity" package, please visit the following link:
https://gretl.sourceforge.net/current_fnfiles/fdensity.gfn
We encourage you to explore the new features and improvements in version
0.6. Your feedback, suggestions, and bug reports are highly appreciated,
as they help us in further enhancing the package.
Thank you for your ongoing support and contribution to the Gretl community.
Best regards,
Artur
1 year
- 1
- 0
Microsoft Copilot can write Hansl scripts.
by Ekkehart Schlicht
Hi all,
I have asked the Microsoft AI application contained in the Edge browser
(Copilot):
Write me a Hansl script for a Cholesky decomposition of a positive
definite matrix.
The answer was
## Bing
Sure, here is a simple Hansl script for performing a Cholesky
decomposition of a positive definite matrix:
# Create a positive definite matrix
matrix A = {4,12,-16;12,37,-43;-16,-43,98}
# Perform Cholesky decomposition
matrix L = cholesky(A)
# Print the lower triangular matrix
print L
In this script, we first create a positive definite matrix A. Then,
we use the cholesky function to perform the Cholesky decomposition.
The result is a lower triangular matrix L such that A = L * L'.
Finally, we print the matrix L.
Please replace the matrix A with your own positive definite matrix.
Note that the matrix must be symmetric and positive definite for the
Cholesky decomposition to be valid. If the matrix is not positive
definite, the cholesky function will return an error.
Let me know if you need help with anything else! 😊
I find this quite impressive!
Ekkehart
1 year
- 2
- 1