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Prepare parameters setup for FAST model fitting.
model_set_FAST( maxIter = 30, epsLogLik = 1e-05, error_heter = TRUE, Psi_diag = FALSE, verbose = TRUE, seed = 1 )
return a Seurat object with new reduction (named reduction.name) added to the `reductions` slot.
the maximum iteration of ICM-EM algorithm. The default is 30.
an optional positive vlaue, tolerance of relative variation rate of the observed pseudo loglikelihood value, defualt as '1e-5'.
a logical value, whether use the heterogenous error for FAST model, default as TRUE. If error.heter=FALSE, then the homogenuous error is used.
TRUE
error.heter=FALSE
a logical value, whether set the conditional covariance matrices of intrisic CAR to diagonal, default as FALSE
FALSE
a logical value, whether output the information in iteration.
a postive integer, the random seed to be set in initialization.
model_set_FAST(maxIter = 30, epsLogLik = 1e-5, error_heter=TRUE, Psi_diag=FALSE, verbose=TRUE, seed=2023)
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