econcz's Stars
econcz/x86-alpine-glibc
A glibc 32-bit docker image for Alpine Linux built for https://ish.app (:ish-glibc-3.12 etc., the original iSH App image is :ish-import).
econcz/stata-xtarimau
'XTARIMAU': module to find the best [S]ARIMA[X] models in heterogeneous panels with the help of arimaauto
econcz/chroot_x86_64
QEMU-based x86_64 chroot for Raspberry Pi 4B or later with (in-built) Stata® and other x86_64 software support
econcz/stata-arimaauto
'ARIMAAUTO': module to find the best ARIMA model with the help of a Stata-adjusted Hyndman-Khandakar (2008) algorithm
econcz/stata-summarizeby
'SUMMARIZEBY': module to use statsby functionality with summarize
econcz/stata-xtimportu
'XTIMPORTU': module to import monthly, quarterly, half-yearly or yearly time series and panel data as panelvar timevar valuevar from a supported file format to memory or a file
econcz/stata-xtmipolateu
'XTMIPOLATEU': module to replace missing values in a time series, two- or multidimensional varlist with interpolated (extrapolated) ones
econcz/debchroot
Run your Linux and Wine-based i386 (x86)/amd64 (x86_64) apps on armhf/arm64 (aarch64) devices!
econcz/pyconvertu
Tools for creation or conversion of lists from/to desired classification (the default is ISO 3166-1)
econcz/stata-lppinv
'LPPINV': module providing a non-iterated general implementation of the LPLS estimator for cOLS, TM, and custom cases
econcz/stata-pyconvertu
'PYCONVERTU': module to convert a string variable into a classification from the default or user-provided JSON file with the help of Python 3
econcz/stata-tmpinv
'TMPINV': module to providing a non-iterated Transaction Matrix (TM)-specific implementation of the LPLS estimator
econcz/stata-tmpinvi
'TMPINVI': module providing an iterated (multistep) Transaction Matrix (TM)-specific implementation of the LPLS estimator'TMPINVI': module providing an iterated (multistep) Transaction Matrix (TM)-specific implementation of the LPLS estimator
econcz/stata-xtrevu
'XTREVU': module to reverse the order of values of time series and panel data variables