https://venkatesanraja.r-universe.devRecent package updates in venkatesanrajaR-universehttps://github.com/venkatesanraja.pnghttps://venkatesanraja.r-universe.devSun, 29 Mar 2026 19:05:37 GMTvenkatesanraja09@gmail.com (Raja TV)Fits up to 20 nonlinear lactation curve models to dairy animal milk yield data. Models fitted include exponential, polynomial, mixed logarithmic, inverse polynomial, and sigmoid families published between 1923 and 2000. Supports batch processing of multiple animals from a single CSV file, with flexible selection of animals and models. Produces per-animal parameter tables, goodness-of-fit metrics including R-squared (R2), Root Mean Square Error (RMSE), Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and a serial autocorrelation statistic, 15 diagnostic figures, and combined cross-animal comparison outputs. References: <doi:10.1085/jgp.5.4.441>, <doi:10.1038/216164a0>, <doi:10.1016/0301-6226(87)90003-0>, <doi:10.4141/cjas87-067>, <doi:10.3168/jds.S0022-0302(00)75136-8>.https://github.com/r-universe/venkatesanraja/actions/runs/39020596285Sun, 29 Mar 2026 19:05:37 GMTLactCurveModels0.1.5successhttps://venkatesanraja.r-universe.devhttps://github.com/cran/LactCurveModelsgetting-started.Rmdgetting-started.htmlGetting Started with LactCurveModels2026-03-29 19:05:372026-03-29 19:05:37venkatesanraja09@gmail.com (Raja TV)This package is useful for construction of selection index. This package uses the mixed and random model least squares analysis to estimate the heritabilities of the traits and genetic correlation between the traits.This uses the sire model as it is considered as random effect. The genetic and phenotypic (co)variances along with the relative economic values are used to construct the selection index for any number of traits. It also estimates the accuracy of the index and the genetic gain expected for different traits.https://github.com/r-universe/venkatesanraja/actions/runs/42217580906Thu, 03 Apr 2025 12:31:26 GMTseliNDRIx0.1.0successhttps://venkatesanraja.r-universe.devhttps://github.com/venkatesanraja/selindrix