Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/136774
DC Field | Value | Language |
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dc.contributor | 心理系 | |
dc.creator | 黃柏僩 | |
dc.creator | Huang, Po-Hsien | |
dc.date | 2020-04 | |
dc.date.accessioned | 2021-08-10T08:44:37Z | - |
dc.date.available | 2021-08-10T08:44:37Z | - |
dc.date.issued | 2021-08-10T08:44:37Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/136774 | - |
dc.description.abstract | 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, each model parameter can be specified as free/fixed for theory testing, or penalized for exploration. By incorporating either a L1 or minimax concave penalty, the sparsity pattern of the parameter matrix can be efficiently explored. Package lslx minimizes the PL criterion through a quasi-Newton method. The algorithm conducts line search and checks the first-order condition in each iteration to ensure the optimality of the obtained solution. A numerical comparison between competing packages shows that lslx can reliably find PL estimates with the least time. The current package also supports other advanced functionalities, including a two-stage method with auxiliary variables for missing data handling and a reparameterized multi-group SEM to explore population heterogeneity. | |
dc.format.extent | 692366 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation | Journal of Statistical Software, Vol.93, No.7, pp.1851 | |
dc.title | lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood | |
dc.type | article | |
dc.identifier.doi | 10.18637/jss.v093.i07 | |
dc.doi.uri | https://doi.org/10.18637/jss.v093.i07 | |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
Appears in Collections: | 期刊論文 |
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