Generalization of supervised principal component regression (SPCR; 
    Bair et al., 2006, <doi:10.1198/016214505000000628>) to support continuous, 
    binary, and discrete variables as outcomes and predictors 
    (inspired by the 'superpc' R package <https://cran.r-project.org/package=superpc>).

A group-specific recommendation system to use dependency information from users and items which share similar characteristics under the singular value decomposition framework. Refer to paper A Group-Specific Recommender System <doi:10.1080/01621459.2016.1219261> for the details.

A gate-keeping procedure to test a primary and a secondary endpoint in a group sequential design with multiple interim looks. Computations related to group sequential primary and secondary boundaries. Refined secondary boundaries are calculated for a gate-keeping test on a primary and a secondary endpoint in a group sequential design with multiple interim looks. The choices include both the standard boundaries and the boundaries using error spending functions. 
    See Tamhane et al. (2018), "A gatekeeping procedure to test a primary and a secondary endpoint in a group sequential design with multiple interim looks", Biometrics, 74(1), 40-48.

A comprehensive package for structural multivariate
        function estimation using smoothing splines.

We propose a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. We can handle missing genotypes in pedigrees.  We estimate the time-dependent hazard ratio between two genetic mutation groups using B-splines, while applying nonparametric maximum likelihood estimation to the reference baseline hazard function.  The estimators are calculated via an expectation-maximization algorithm.

Mapper-based survival analysis with transcriptomics data is designed to carry out. 
			Mapper-based survival analysis is a modification of Progression Analysis of Disease (PAD) 
			where survival data is taken into account in the filtering function. More 
			details in: J. Fores-Martos, B. Suay-Garcia, R. Bosch-Romeu, M.C. Sanfeliu-Alonso, 
			A. Falco, J. Climent, "Progression Analysis of Disease with Survival (PAD-S) by SurvMap 
			identifies different prognostic subgroups of breast cancer in a large combined set of transcriptomics
			and methylation studies" <doi:10.1101/2022.09.08.507080>.