FacRowMaxST             Data splitting-based two-stage maximum testing
                        method for a group of loading vectors in factor
                        models.
FacRowMinST             Data splitting-based two-stage minimum testing
                        method for a group of loading vectors in factor
                        models.
Factorm                 Factor Analysis Model
MeanMax                 Data splitting-based two-stage maximum mean
                        testing method for the mean vector.
MeanMin                 Data splitting-based two-stage minimum mean
                        testing method for the mean vector.
RegMax                  Data splitting-based two-stage maximum testing
                        method for the regression coefficients in
                        linear regression models
RegMin                  Data splitting-based two-Stage minimum testing
                        method for the regression coefficients in
                        linear regression models.
assessBsFun             Assess the performance of group-sparse loading
                        estimate
bic.spfac               Modified BIC criteria for selecting penalty
                        parameters
ccorFun                 Evaluate the smallest canonical correlation for
                        two set of variables
cv.spfac                Cross validation for selecting penalty
                        parameters
gendata_Fac             Generate simulated data
gendata_Mean            Generate simulated data
gendata_Reg             Generate simulated data
gsspFactorm             High Dimensional Sparse Factor Model
