model_set.RdSet the PRECAST model structure and paramters in the algorithm.
model_set(Sigma_equal=FALSE, Sigma_diag=TRUE,mix_prop_heter=TRUE,
error_heter=TRUE, Sp2=TRUE, wpca_int=FALSE,int.model='EEE',
coreNum = 1, coreNum_int=coreNum,
beta_grid=seq(0.2,4, by=0.2),
maxIter_ICM=6,maxIter=20, epsLogLik=1e-5, verbose=TRUE, seed=1)an optional logical value, specify whether Sigmaks are equal, default as FALSE.
an optional logical value, specify whether Sigmaks are diagonal matrices, default as TRUE.
an optional logical value, specify whether betar are distict, default as TRUE.
an optional logical value, whether use the heterogenous error i.e. lambdarj != lambdark for each sample r, default as TRUE. If error_heter=FALSE, then the homogenuous error is used for probabilistic PCA model.
an optional logical value, whether add the ICAR model component in the model, default as TRUE. We provide this interface for those users who don't want to include the ICAR model.
an optional logical value, means whether use the weighted PCA to obtain the initial values of loadings and other paramters, default as FALSE which means the ordinary PCA is used.
an optional string, specify which Gaussian mixture model is used in evaluting the initial values for PRECAST, default as "EEE"; and see Mclust for more models' names.
an optional positive integer, means the number of thread used in parallel computating.
an optional positive integer, means the number of cores used in parallel computation for initial values when K is a vector, default as same as coreNum.
an optional vector of positive value, the candidate set of the smoothing parameter to be searched by the grid-search optimization approach.
an optional positive value, represents the maximum iterations of ICM.
an optional positive value, represents the maximum iterations of EM.
an optional positive vlaue, tolerance vlaue of relative variation rate of the observed pseudo log-loglikelihood value, defualt as '1e-5'.
an optional logical value, whether output the information of the ICM-EM algorithm.
an optional integer, the random seed in fitting PRECAST model.
Nothing
Return a list including all paramters' setting.
nothing
None
model_set()
#> $Sigma_equal
#> [1] FALSE
#>
#> $Sigma_diag
#> [1] TRUE
#>
#> $mix_prop_heter
#> [1] TRUE
#>
#> $error_heter
#> [1] TRUE
#>
#> $Sp2
#> [1] TRUE
#>
#> $wpca_int
#> [1] FALSE
#>
#> $int.model
#> [1] "EEE"
#>
#> $coreNum
#> [1] 1
#>
#> $coreNum_int
#> [1] 1
#>
#> $beta_grid
#> [1] 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8
#> [20] 4.0
#>
#> $maxIter_ICM
#> [1] 6
#>
#> $maxIter
#> [1] 20
#>
#> $epsLogLik
#> [1] 1e-05
#>
#> $verbose
#> [1] TRUE
#>
#> $seed
#> [1] 1
#>