Episode 3: Jackknifing, Leibniz, and Feeling the Python Breeze

In this episode, I play with jackknives, chuckle over Python, list upcoming R conferences, and showcase the R-package ‘RcppBDT’. References: Additive Noise-Induced System Evolution (ANISE) Face Recognition in Single Sample Per Person Fusing Multi-Scale Features Extraction and Virtual Sample Generation Methods An Epidemiological Compartmental Model With Automated Parameter Estimation and Forecasting of the Spread of COVID-19 With Analysis of Data From Germany and Brazil Accelerating Jackknife Resampling for the Canonical Polyadic Decomposition The last Python 3.11 alpha (3.11.0a7) is available New methods for solving differential equations in SAS Pascal matrices and inverses Enhancements to HTML Documentation Some discussion of “how to get confident with statistics”: Reading, practicing, and questioning Permutation vs Combination: Differences & Examples Chi-Square Goodness of Fit Test: Uses & Examples SPSS Syntax 101 The sftime Package To impute or not: the case of an RCT with baseline and follow-up measurements Why you should(n’t) care about Monads if you’re an R programmer Bayesian Estimation by using rjags Package Upcoming R conferences (2022) R-packages: clusterHD: Tools for Clustering High-Dimensional Data Allspice: RNA-Seq Profile Classifier cheatR: Catch Cheaters spooky: Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling taxonbridge: Create Custom Taxonomies Based on the NCBI Taxonomy and GBIF Backbone Taxonomy wrMisc: Analyze Experimental High-Throughput (Omics) Data findInFiles: Find Pattern in Files mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion aRtsy: Generative Art with 'ggplot2' glmm: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation glmtoolbox: Set of Tools to Data Analysis using Genera RcppBDT: 'Rcpp' Bindings for the Boost Date_Time Library