Maximum Likelihood Principal Component Analysis

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Documentation for package ‘RMLPCA’ version 0.0.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

cov_d	Covariance matrix for mlpca_d model
cov_e	Covariance matrices for mlpca_e model
data_clean	Error free data for all examples.
data_cleaned_mlpca_b	Cleaned dataset after applied MLPCA B used for tests only
data_cleaned_mlpca_c	Cleaned dataset after applied MLPCA C used for tests only
data_cleaned_mlpca_d	Cleaned dataset after applied MLPCA D used for tests only
data_cleaned_mlpca_e	Cleaned dataset after applied MLPCA E used for tests only
data_clean_e	Error free data for all examples.
data_error_b	Errors generated for mlpca_b model
data_error_c	Errors generated for mlpca_c model
data_error_d	Errors generated for mlpca_d model
data_error_e	Errors generated for mlpca_e model
mlpca_b	Maximum likelihood principal component analysis for mode B error conditions
mlpca_c	Maximum likelihood principal component analysis for mode C error conditions
mlpca_d	Maximum likelihood principal component analysis for mode D error conditions
mlpca_e	Maximum likelihood principal component analysis for mode E error conditions
RMLPCA	RMLPCA: A package for computating MLPCA algorithms b,c,d and e
sds_b	Standard deviations for mlpca_b model
sds_c	Standard deviations for mlpca_c model