Description

In this episode, I kept it quick with appropriate microbial resistance data procedures, using a TI 83 calculator for statistics, and hoping for an easy entry to NEON data wrangling with package ‘neonOS’.

References:

• Statistical Network Analysis with Bergm
• ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models
• AMR: An R Package for Working with Antimicrobial Resistance Data
• new version of package declared
• 3 ways to enhance productivity with AI
• TI 83 for Statistics: Easy Steps for Common Problems
• Hazard Ratio: Interpretation & Definition
• Writing Functions in R
• August 2022:  “Top 40” New CRAN Packages

R-packages:

• easydb: Easily Connect to Common Types of Databases
• neonOS: Basic Data Wrangling for NEON Observational Data
• getpublist: Obtain a List of Publications from 'PubMed' and 'Google Scholar'
• adjustedCurves: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions