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  "Title": "Semi-Parametric Factor Analysis",
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  "Description": "Estimation, scoring, and plotting functions for the\nsemi-parametric factor model proposed by Liu & Wang (2022)\n<doi:10.1007/s11336-021-09832-8> and Liu & Wang (2023)\n<arXiv:2303.10079>. Both the conditional densities of observed\nresponses given the latent factors and the joint density of\nlatent factors are estimated non-parametrically. Functional\nparameters are approximated by smoothing splines, whose\ncoefficients are estimated by penalized maximum likelihood\nusing an expectation-maximization (EM) algorithm. E- and\nM-steps can be parallelized on multi-thread computing platforms\nthat support 'OpenMP'. Both continuous and unordered\ncategorical response variables are supported.",
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