Episode 33: Healthy Heaping of Free Stats

In this episode, I took advantage of more than one free data science course, mused over mappings for R, and helped myself to a heap of helper functions with R package ‘mlmhelpr’. References: The Hybrid Model of Autoregressive Integrated Moving Average and Fuzzy Time Series Markov Chain on Long Memory Data Predicting prediction: A systematic workflow to analyze factors affecting the classification performance in genomic biomarker discovery A supervised topic embedding model and its application Shrinkage estimators of large covariance matrices with Toeplitz targets in array signal processing SAS® Fast-KPCA: An efficient and innovative nonlinear principal components method TDApplied version 2.0.0 Issues While Switching R to UTF-8 and UCRT on Windows Datacamp Free Access Week Map any region in the world with R – Part II: Obtaining the coordinates R ggmap – How to Visualize Spatial Data in R R-packages: cauchypca: Robust Principal Component Analysis Using the Cauchy Distribution nett: Network Analysis and Community Detection pwrss: Power and Sample Size Calculation Tools SASdates: Convert the Dates to 'SAS' Formats planningML: A Sample Size Calculator for Machine Learning Applications in Healthcare mlmhelpr: Multilevel/Mixed Model Helper Functions ExomeDepth: Calls Copy Number Variants from Targeted Sequence Data