Replication code for "Data Science in Stata 16: Frames, Lasso, and Python Integration"
2021
Formats
| Format | |
|---|---|
| BibTeX | |
| MARCXML | |
| TextMARC | |
| MARC | |
| DataCite | |
| DublinCore | |
| EndNote | |
| NLM | |
| RefWorks | |
| RIS |
Description
Abstract: Replication code and example script for software review published in Journal of Statistical Software. When citing this dataset, please also cite the associated article. A sample Publication Citation is provided below.
Details
Resource Type
Dataset
Series (Uniform Title)
Other Identifiers
Title
Replication code for "Data Science in Stata 16: Frames, Lasso, and Python Integration"
Creator
Ho, Anson T.Y. (Bank of Canada)
Huynh, Kim (Bank of Canada)
Jacho-Chávez, David (Emory University)
Rojas-Baez, Diego (Emory University)
Huynh, Kim (Bank of Canada)
Jacho-Chávez, David (Emory University)
Rojas-Baez, Diego (Emory University)
Publisher
Journal of Statistical Software
Date
2021-05-31
Version
1
Language
English
Availability Statement
Replication files may be downloaded from the article page listed in the DOI field, or directly from the links in the URL fields above
Rights
GNU General Public License v2.0 or later, GPL-2.0-or-later, (https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html)
Publication Citation
Ho, A.T.Y., K. Huynh, D. Jacho-Chávez and D. Rojas-Baez. 2021. "Data Science in Stata 16: Frames, Lasso, and Python Integration." Journal of Statistical Software 98 No. 1. https://doi.org/10.18637/jss.v098.s01.
Record Appears in
Related Items
Relation Type
Record Is Supplement To
Relationship Note
Reproducibility package is associated with software review in scholarly journal
Related Item
Journal Article
Title
Data Science in Stata 16: Frames, Lasso, and Python Integration
Identifier
Publication Date
2021
Volume
98
Issue
1
Publisher
Journal of Statistical Software