Changes in version 11-14-2019                      

Changes:

  - Introducing the argument 'C1.map' in the function 'tca' for allowing
    source-specific covariates 'C1' to affect only a user-defined subset
    of the sources.

  - Now allowing to provide 'tau' as an input to the 'tca' function.

  - Switched the FDR method used in 'tcareg' from "BH" to "BY".

  - Added a 'verbose' argument to all functions.

Bug fixes:

  - Added glmnet as a required dependency to the description file.

  - Fixed a formatting error in 'tcareg' in some cases where both 'C1'
    and 'C3' were used.

  - Fixed a problem in 'tca' in cases where 'refit_W=TRUE', 'C1=NULL',
    'C2=NULL'.

  - Fixed logging issue in cases where 'debug=TRUE', 'refit_W=TRUE'.

  - Fixed a bug in the calculation of the returned value of 'tensor' in
    cases where 'C2' were provided.

                     Changes in version 05-22-2019                      

                     Changes in version 02-13-2021                      

NOTE v1.2.1 is not backward compatible with earlier versions

Changes:

  - A new argument 'vars.mle' in 'tca' which controls the method used
    for optimization; setting to FALSE allows a much faster
    optimization.

  - A new argument 'fast_mode' in 'tcareg' allows a much faster
    optimization.

  - A new argument 'constrain_mu' in 'tca' allows to determine whether
    to constrain the mean parameters in the optimization; setting to
    false now allows to obtain p-values for the covariates in 'C1' and
    'C2'.

  - A new 'scale' argument in 'tensor' for dividing estimates by
    estimated standard deviations.

  - Default values of several arguments have been changed.

  - Switched the default FDR method used in ‘tcareg’ back from “BY” to
    “BH” (can be changed by editing the config file).