Episode 26: Random Learning on the Short

23/09/2022 4 min Temporada 1 Episodio 26

Listen "Episode 26: Random Learning on the Short"

Episode Synopsis

In this episode, I kept it short and sweet with a new statistical journal reference, data science job scraping, and random learning for R-packages.
References:

Generalized resilience and robust statistics
Stochastic continuum-armed bandits with additive models: Minimax regrets and adaptive algorithm
Generate random ID values for subjects in SAS
Linear Regression Equation Explained
An Example of Specifying Within-Subjects Factors in Repeated Measures
Designing Online Data Science Training for the Modern Age
Optimizing my search for Data scientist jobs by scraping Indeed with R
Seeking Inspiration from Random Learning

R-packages:

BiOFI: Feature Identification Between Metabolome and Microbiome in Disease and Health
glmmrBase: Specification of Generalised Linear Mixed Models
REDCapTidieR: Extract 'REDCap' Databases into Tidy 'Tibble's
verbaliseR: Make your Text Mighty Fine
betaSandwich: Robust Confidence Intervals for Standardized Regression Coefficients
DynForest: Random Forest with Multivariate Longitudinal Predictors
roBTT: Robust Bayesian T-Test
alqrfe: Adaptive Lasso Quantile Regression with Fixed Effects
recurrentpseudo: Creates Pseudo-Observations and Analysis for Recurrent Event Data
alkahest: Pre-Processing XY Data from Experimental Methods