![]() ![]() Robust spline interpolation for dual color array comparative genomic hybridisation dataĪffymetrix SNP probe-summarization using non-negative matrix factorization The ACER Method for Extreme Value Estimation Load Axon ABF2 files (currently only in gap-free recording mode)Ī Biomarker Validation Suit for predicting Survival using gene signatureĭata Modelling with Additive Bayesian NetworksĪbundant regression and high-dimensional principal fitted componentsįunctions for processing uniaxial minute-to-minute accelerometer dataĬreation and evaluation of Acceptance Sampling PlansĬategorical data analisys with complete or missing responsesĪssay-based Cross-sectional Estimation of incidence ratesĪce() and avas() for selecting regression transformations Tools for Approximate Bayesian Computation (ABC)ĪBCDE_FBA: A-Biologist-Can-Do-Everything of Flux Balance Analysis with this packageĪpproximate Bayesian Computational model for estimating P2 A3Ī3: Accurate, Adaptable, and Accessible Error Metrics for Predictive Models R provides package to handle big data (ff), allow parallelism, plot graphs (ggplot2), analyze data through different algorithm available (ABCp2 etc etc.), develop GUI (shiny) and many more. It keeps growing, whole bunch of functionalities are available, only thing is too choose correct package. ![]() More than 4700 packages are available in R.
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