{gglm} has a new major update on CRAN! v1.0.0 adds support for diagnostic plots on a huge variety of model outputs, from packages like {lme4}, {brms}, {nlme}, and many more! Check out the documentation on https://t.co/vipBow0PC2 to learn more, and install it from CRAN!
{gglm} 0.1.0 is now on CRAN! {gglm} helps produce beautiful and easy to use diagnostic {ggplot2}s for linear models that adhere to the Grammar of Graphics. Check out some example of using it on Github: https://t.co/C78UEF6ZAP
and try it out!
#RStats#DataScience#ggplot2#gglm
Professor Kelly McConville shares her excitement about revamping the Stat 100 course and her reasons for joining Harvard Statistics this spring: https://t.co/DIWu7ZYsw5 #HarvardStats
@mcleamj I enjoyed updating my (personal, not lab) site with Hugo Apéro, deployed through GitHub pages: https://t.co/zWsFFkexuc
There is a lot of nice documentation on building a site with Hugo Apéro here: https://t.co/4cAXJ09EU0
For much of my work at the USDA Forest Service, I have been preparing {FIESTA} for public release and submission to CRAN. Today is the day it was accepted to CRAN! Learn about how to do Forest Inventory ESTimation and Analysis with {FIESTA} here: https://t.co/HcAYJ2oRUo
Excited to announce that I'll be pursuing a dual PhD in Statistics & Forestry @michiganstateu in the Finley Lab (https://t.co/RHBPe8c1NY) starting next fall.
I'm immensely grateful to the folks who helped me through the process, and so happy to be on the other side of it.
Feeling incredibly thankful and happy this morning to have my first paper published. This paper expands on work done for my senior thesis @Reed_College_ and implements hierarchical Bayesian models for small area estimation of forest attributes. https://t.co/LUpeC1gpU7
In a new podcast, Malcolm Gladwell skewers U.S. News college ranking system and hacks its algorithm, aided and abetted by a team of Reed statisticians, including students and Prof. Kelly McConville. Guess what they find? https://t.co/yjqBqnZ4cr
New blog post! I thought it might be worth sharing some lessons learned about implementing a pipable programming style when extending #rstats {ggplot2}.🌻
https://t.co/CKaFDE43qt
Just submitted the final copy of my undergrad thesis which fits hierarchical Bayesian models to forest attributes. Feels surreal, thanks to all who’ve been involved in this process. Especially my parents, so grateful to have grown up in a home which valued the forest so highly.
.@joshyam_ made an incredible #rstats shiny app for visualizing the distribution of scooters in San Francisco for @Reed_College_’s Data Science course... this GIF only scratches the surface of what it's capable of.🙂
App: https://t.co/4ZZW6N63Fa
Source: https://t.co/4efnWCeMA3
@icymi_r Really excited to be finishing up my undergrad in the next couple months and to have more time to work on things like {gglm}. What do you want to see in the next release? #rstats#DataScience#ggplot2