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New Features
Integrate all the multivariate sufficient dimension reduction methods in regression within the mitdr() function.
Integrate wh(), wx(), and wy() functions into a single function hyperPara().
Enhancements
Bug Fixes
New Features
Include the following integral transformation methods.
1). An iterated alternating direction method of multipliers (ADMM) algorithm that selects the sufficient variables using a Fourier transform sparse inverse regression estimators. This algorithm is integrated in admmft() function.
2). A Minimum Discrepancy Approach with Fourier Transform in Sufficient Dimension Reduction. This algorithm is integrated in fm_xire() function.
Enhancements
Include the following data sets to the package.
1). prostate - The data describe the level of a prostate-specific antigen associated with eight clinical measures in 97 male patients taking a radical prostatectomy.
2). Raman - The Raman dataset contains 69 samples of fatty acid information in terms of percentage of total sample weight and percentage of total fat content
Enhancements
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.