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

15/04/2022 8 min Temporada 1 Episodio 3

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Episode Synopsis

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