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multilevel-models

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OpenMx / OpenMx

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mxStandardizeRAM allow choices for cov.std?

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tbates
tbates commented Apr 1, 2019

Is there any utility to adding type and cov.std options to mxStandardizeRAM?

FYI , in lavaan,

type for continuous variables

  • "std.lv" var of latents only
  • "std.all" = var of both manifest and latent variables
  • "std.nox" like "all", but exclude var of exogenous covariates.

cov.std

  • If TRUE, residual observed covariances scaled by sqrt ‘Theta’ diagonal (residual latent
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enhancement good first issue

hammouc / MLMC_IS_SRNs

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This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286

matlab biological-simulations stochastic-process multilevel-models numerical-simulations stochastic-simulation-algorithm numerical-analysis monte-carlo-methods biological-networks multilevel importance-sampling multilevel-monte-carlo stochastic-reaction-networks stochastic-biological-systems
  • Updated Jun 28, 2020
  • MATLAB

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