NOTE v1.2.1 is not backward compatible with earlier versions
Changes:
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A new argument 'vars.mle' in 'tca' which controls the method used for optimization; setting to FALSE allows a much faster optimization.
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A new argument 'fast_mode' in 'tcareg' allows a much faster optimization.
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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'.
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A new 'scale' argument in 'tensor' for dividing estimates by estimated standard deviations.
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Default values of several arguments have been changed.
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Switched the default FDR method used in ‘tcareg’ back from “BY” to “BH” (can be changed by editing the config file).