ZARZA We are Zarza, the prestigious firm behind major projects in information technology.
Listen "Episode 31: Awash in Acronyms"
Episode Synopsis
In this episode, I tried to keep my acronyms straight, dealt with big and tall (data), poked the ribs of SPSS, and contrasted the PIC with the AIC (more acronyms on the march!)
References:
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package
synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data
BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R
Facilitating time series classification by linear law-based feature space transformation
Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery
Visualize dependencies of missing values
Formatting your Microsoft Excel output using ODS Excel
How to use the image function in R
How to create a heatmap in R
The pheatmap function in R
SAS or R-Yould Should Know!
Understanding ShinyApps
R-packages:
worrrd: Generate Wordsearch and Crossword Puzzles
picR: Predictive Information Criteria for Model Selection
References:
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package
synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data
BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R
Facilitating time series classification by linear law-based feature space transformation
Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery
Visualize dependencies of missing values
Formatting your Microsoft Excel output using ODS Excel
How to use the image function in R
How to create a heatmap in R
The pheatmap function in R
SAS or R-Yould Should Know!
Understanding ShinyApps
R-packages:
worrrd: Generate Wordsearch and Crossword Puzzles
picR: Predictive Information Criteria for Model Selection
In God we trust