Prepare parameters setup for PRECAST model fitting.
model_set_PRECAST(
Sigma_equal = FALSE,
Sigma_diag = TRUE,
mix_prop_heter = TRUE,
error_heter = TRUE,
Sp2 = TRUE,
wpca_int = FALSE,
int.model = "EEE",
coreNum = 5,
coreNum_int = coreNum,
beta_grid = seq(0.2, 4, by = 0.2),
maxIter_ICM = 6,
maxIter = 20,
epsLogLik = 1e-05,
verbose = TRUE,
seed = 1
)a logical value, whether set the mixture covariance matrices equal, default as FALSE.
a logical value, whether set the mixture covariance matrices diagonal, default as TRUE.
a logical value, whether set the smoothing parameter of each data batch to be different, default as TRUE.
a logical value, whether use the heterogenous error for PRECAST model, default as TRUE.
a logical value, whether add the intrisical CAR component in the PRECAST model, default as TRUE.
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 DR-SC, default as "EEE"; and see Mclust for more models' names.
an integer value to decide how many cores are used to run in parallel, default as 5.
an integer value to decide how many cores are used in parallel computing initial values.
a numeric vector, specify the smoothness parameter of Random Markov Field. The default is seq(0.2,4,0.2).
the maximum iteration of ICM step, default as 6.
the maximum iteration of ICM-EM algorithm. The default is 25
an optional positive vlaue, tolerance vlaue of relative variation rate of the observed pseudo log-loglikelihood value, defualt as '1e-5'.
a logical value, whether output the information in iteration.
a postive integer, the random seed to be set.
model_set_PRECAST(Sigma_equal=TRUE, coreNum=5)
#> $Sigma_equal
#> [1] TRUE
#>
#> $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] 5
#>
#> $coreNum_int
#> [1] 5
#>
#> $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
#>