R: Maximum Likelihood Principal Component Analysis

# Maximum Likelihood Principal Component Analysis

## Documentation for package ‘RMLPCA’ version 0.0.1

- DESCRIPTION file
- Package NEWS
- Package README

## 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