version 1.3.0

• adds computeStructuralMetrics() for assessment of post-imputation preservation of local and global structures in
  imputed and source data. Users can now use the three metrics implemented in this function to compare imputation methods. The GW distance metric component of this tool requires local python installation. See manual for more details.
• adds functions for peptide variance decomposition
• updates to examples
• updates documentation to clarify expected input
• internal controls for NaN, Inf values

version 1.2.0

Data scaling and imputation are implemented as separate functions.
Includes updates to documentation of all functions to clarify their function and usage. The code to generate heatmap of dropout patterns is included. A User Manual is provided in PDF format for the convenience of the users.

version 1.1.0

Includes functions for MAR/MNAR diagnosis, and quantification of distortion to global and local structures post imputation

v1.0

Update README.md