NASA press release for Lynch Lab-developed penguin monitoring tool

Latest press release from NASA about the Mapping Application for Penguin Populations and Projected Dynamics (MAPPPD) tool, developed as a part of a NASA-funded project. The development of MAPPPD was led by lab PI Heather Lynch and NASA Goddard Space Flight Center Scientist Mathew Schwaller, with the goal of making scientific data more accessible to Antarctic scientists and decision makers. The tool will provide necessary information for key conservation-decisions in the region.

MAPPPD allows users to explore population trends in different regions of Antarctic by selecting an area of interest. It is also designed to incorporate information from citizen scientists in order to ‘fill in the gaps’ in knowledge in the Antarctic.

Learn more about MAPPPD here!

R package `MCMCvis` now on CRAN

MCMCvis, an R package for visualizing, manipulating, and summarizing MCMC output is now available on CRAN!

It can be installed with: install.packages('MCMCvis')

The vignette (tutorial) can be run with: vignette('MCMCvis')

MCMCvis was designed to perform key functions for MCMC analysis using minimal code, in order to free up time/brainpower for interpretation of analysis results. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable and ‘publication-ready’ output. Model output can be from JAGS, Stan, or other MCMC samplers. The package deals with different data types behind the scenes so you don’t have to think about it. You can specify which parameters you want to visualize or extract within the functions.

For example, this plot can be made using just one line of code (after loading package/data, of course)!

library('MCMCvis') #load package

data(MCMC_data) #load example data

MCMCplot(MCMC_data, params = 'beta') #create plot

 

rplot02

More information can be found within the package vignette. The package was created and authored by Lynch Lab PhD candidate, Casey Youngflesh. He can be found here on Github and here on Twitter.