| Software Item |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| ARIMAAUTO: Stata module to find the best ARIMA model with the help of a Stata-adjusted Hyndman-Khandakar (2008) algorithm |
1 |
3 |
21 |
257 |
5 |
18 |
106 |
1,131 |
| CCONV: Stata module to Convert a string variable to a classification from a built-in or user-defined JSON file using libjson |
0 |
0 |
1 |
1 |
0 |
7 |
29 |
29 |
| CLSP: Stata module providing Convex Least Squares Programming (CLSP) is a modular two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems |
0 |
0 |
0 |
0 |
2 |
8 |
31 |
31 |
| CLSPL2: Stata module providing Convex Least Squares Programming (CLSP) is a modular two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems |
0 |
0 |
0 |
0 |
3 |
3 |
3 |
3 |
| LPPINV: Stata module providing Linear Programming via Regularized Least Squares (LPPinv) is a modular two-step estimator for solving underdetermined, ill-posed, or structurally constrained linear and quadratic programming problems using least-squares and convex optimization |
1 |
1 |
1 |
6 |
1 |
7 |
20 |
83 |
| LPPINVL2: Stata module providing Linear Programming via Regularized Least Squares (LPPinv) is a modular two-step estimator for solving underdetermined, ill-posed, or structurally constrained linear and quadratic programming problems using least-squares and convex optimization |
0 |
0 |
0 |
0 |
3 |
3 |
3 |
3 |
| PYCONVERTU: Stata module to convert a string variable into a classification from the default or user-provided JSON file with the help of Python 3 |
0 |
0 |
1 |
43 |
1 |
10 |
47 |
437 |
| SUMMARIZEBY: Stata module to use statsby functionality with summarize |
0 |
0 |
1 |
14 |
0 |
6 |
23 |
158 |
| TMPINV: Stata module solving Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a modular two-step estimator for solving underdetermined, ill-posed, or structurally constrained allocation problems using least-squares and convex optimization |
0 |
0 |
0 |
7 |
1 |
2 |
16 |
66 |
| TMPINVI: Stata module solving Interactive Tabular Matrix Problems via Pseudoinverse Estimation (TMPinvI) program is a wrapper for the TMPinv-estimator commands tmpinv and tmpinvl2 with options extending its functionality to pre/postestimation |
0 |
0 |
0 |
2 |
1 |
4 |
10 |
32 |
| TMPINVL2: Stata module solving Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a modular two-step estimator for solving underdetermined, ill-posed, or structurally constrained allocation problems using least-squares and convex optimization |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
| USORT: Stata module to perform locale-based ascending and descending sort that supports conditional statements, observation ranges, and user-defined handling of substrings and missing values |
0 |
0 |
0 |
3 |
0 |
2 |
15 |
46 |
| XTARIMAU: Stata module to find the best [S]ARIMA[X] models in heterogeneous panels with the help of arimaauto |
1 |
1 |
5 |
78 |
2 |
4 |
62 |
466 |
| XTIMPORTU: Stata 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 |
0 |
0 |
0 |
64 |
0 |
5 |
16 |
339 |
| XTMIPOLATEU: Stata module to replace missing values in a time series, two- or multidimensional varlist with interpolated (extrapolated) ones |
0 |
0 |
4 |
66 |
3 |
9 |
29 |
414 |
| XTREVU: Stata module to reverse the order of values of time series and panel data variables |
0 |
0 |
0 |
5 |
0 |
2 |
10 |
53 |
| Total Software Items |
3 |
5 |
34 |
546 |
23 |
91 |
421 |
3,292 |
LogEc is hosted by the
Örebro University School of Business.