spfa

Description

Estimation, scoring, and plotting functions for the semi-parametric factor model proposed by Liu & Wang (2022) <doi:10.1007/s11336-021-09832-8> and Liu & Wang (2023) <arXiv:2303.10079>. Both the conditional densities of observed responses given the latent factors and the joint density of latent factors are estimated non-parametrically. Functional parameters are approximated by smoothing splines, whose coefficients are estimated by penalized maximum likelihood using an expectation-maximization (EM) algorithm. E- and M-steps can be parallelized on multi-thread computing platforms that support 'OpenMP'. Both continuous and unordered categorical response variables are supported.

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Maintainer: ‘Yang Liu <yliu87@umd.edu>’

The Description field contains
  <arXiv:2303.10079>. Both the conditional densities of observed
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Yang Liu <yliu87@umd.edu>’

The Description field contains
  <arXiv:2303.10079>. Both the conditional densities of observed
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

installed size is  7.0Mb
  sub-directories of 1Mb or more:
    libs   6.7Mb

installed size is  7.2Mb
  sub-directories of 1Mb or more:
    libs   6.9Mb

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Maintainer: ‘Yang Liu <yliu87@umd.edu>’

The Description field contains
  <arXiv:2303.10079>. Both the conditional densities of observed
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Yang Liu <yliu87@umd.edu>’

The Description field contains
  <arXiv:2303.10079>. Both the conditional densities of observed
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

installed size is  7.0Mb
  sub-directories of 1Mb or more:
    libs   6.7Mb

installed size is  7.2Mb
  sub-directories of 1Mb or more:
    libs   6.9Mb

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