https://yajie1020.r-universe.devRecent package updates in yajie1020R-universehttps://github.com/yajie1020.pnghttps://yajie1020.r-universe.devWed, 01 May 2024 02:39:05 GMTyajieritaduan@gmail.com (Yajie Duan)Perform 1-dim/2-dim projection pursuit, grand tour and guided tour for big data based on data nuggets. Reference papers: [1] Beavers et al., (2024) <doi:10.1080/10618600.2024.2341896>. [2] Duan, Y., Cabrera, J., & Emir, B. (2023). "A New Projection Pursuit Index for Big Data." <doi:10.48550/arXiv.2312.06465>.https://github.com/r-universe/yajie1020/actions/runs/25986162034Wed, 01 May 2024 02:39:05 GMTPPbigdata1.0.0successhttps://yajie1020.r-universe.devhttps://github.com/cran/PPbigdatayajieritaduan@gmail.com (Yajie Duan)Fit two-part regression models for zero-inflated data. The models and their components are represented using S4 classes and methods. Average Marginal effects and predictive margins with standard errors and confidence intervals can be calculated from two-part model objects. Belotti, F., Deb, P., Manning, W. G., & Norton, E. C. (2015) <doi:10.1177/1536867X1501500102>.https://github.com/r-universe/yajie1020/actions/runs/25780607997Fri, 14 Oct 2022 07:50:02 GMTtwopartm0.1.0successhttps://yajie1020.r-universe.devhttps://github.com/cran/twopartm