gretl 2020b B2020-04- freeware
Is a cross-platform software package for econometric analysis, written in the C programming language. It ... tool developed for users who frequently work with econometric analysis, by providing them with a bunch of useful features. gretl runs on a low-to-moderate amount of CPU and system memory, so it shouldn't interfere with the runtime of active processes. ...
Author | Allin Cottrell & Riccardo "Jack" Lucchet |
Released | 2020-04-12 |
Filesize | 32.20 MB |
Downloads | 2434 |
OS | Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64, Windows 10, Windows 10 x64 |
Installation | Instal And Uninstall |
Keywords | econometric analysis, Comma Separated Values, statistical analysis, analyzer, analyze, econometric |
Users' rating (19 rating) |
gretl Free Download - we do not host any gretl torrent files or links of gretl on rapidshare.com, depositfiles.com, megaupload.com etc. All gretl download links are direct gretl download from publisher site or their selected mirrors.
2020b B2020- | Apr 12, 2020 | New Release | Update gretl copyright notice Revise macOS build: don't require initialization via shell script, and link against version 10.9 of the SDK "gnuplot" and "plot" commands: add a --ylogscale option "store" command: add --matrix option to save a matrix in the form of a dataset |
2020a B2020- | Dec 23, 2019 | New Release | Verbose output for numerical optimization: make the default more basic but add a new "full" setting for the set-variable "max_verbose" "wls" command: support the --cluster option "scatters" command: improve handling of daily data Work on lasso back-end (not public yet) |
2019d B2019- | Dec 23, 2019 | New Release | Fix bug: "dataset sortby" not handling missing values correctly on MS Windows Fix bug: possible crash on using the "fcast" command for out-of-sample forecasting after estimation of a VAR Fix bug: typeof() function not working correctly for string objects inside bundles and arrays Fix bug: robust variant of "chow" failing in case of exact collinearity in the augmented regression |