lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood
Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the associations among a large set of variables. This paper describes an R package called lslx that implements PL methods for semi-confirmatory structural equation modeling (SEM). In this semi-confirmatory approach, e...
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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2020-04-01
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| Series: | Journal of Statistical Software |
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| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/3359 |