The simglm package has an update on CRAN bumping the version up to 0.6.0. This update has added the ability to simulate count data (poisson) and also has fixed (I think) the Shiny app that comes with the package. As I have not posted about this package since the first CRAN release (v 0.5.0), I plan to give an overview of all that the package offers in addition to the new additions.
This is a quick note looking for any further feedback on the simglm package prior to CRAN submission later this week. The goal is to submit Thursday or Friday this week. The last few documentation finishing touches are happening now working toward a version 0.5.0 release on CRAN. For those who have not seen this package yet, the aim is to simulate regression models (single level and multilevel models) as well as employ empirical power analyses based on Monte Carlo simulation.
Markdown (and Rmarkdown) are great ways to quickly develop material without worrying about the formatting. The documents can then be compiled using the knitr or rmarkdown packages to output formats such as HTML, latex, or even word. The main drawback of this approach is that formatting of documents is limited to italics, bold, or strikethrough. Markdown does have support for inline HTML, therefore you can add your own formatting inline using CSS or other HTML attributes, however this moves away from the quick markdown flavor.
I’m happy to introduce an add-on package, pdfsearch, that adds the ability to do keyword searches on pdf files. This add-on package uses the excellent pdftools package from the ropensci project to read in pdf files and perform keyword searches based character strings of interest. Installation The package is currently only hosted on github and can be installed with the devtools library. devtools::install_github('lebebr01/pdfsearch') Basic Example Doing a simple keyword search on a single pdf file uses the keyword_search function.
I’d like to introduce a package that simulates regression models. This includes both single level and multilevel (i.e. hierarchical or linear mixed) models up to two levels of nesting. The package produces a unified framework to simulate all types of continuous regression models. In the future, I’d like to add the ability to simulate generalized linear models. This package is an extension of the functions I used to simulate data for my dissertation.
Have you ever used a markdown file to create an html file? Have you ever wanted to quickly format the subsequent html file to add some color or other aspects? If your answer is yes to both of those questions, this package may be of interest to you. The highlightHTML package aims to develop a flexible approach to add formatting to an html document by injecting CSS into the file. To do this, tags are created within the markdown document telling the R routine where to look for these tags.
My first statistical software package I used as an undergrad was SPSS. I was fortunate during my senior year at Luther College to be initially introduced to R. I did not realize it at the time (except for the pretty graphics) that this was the start of something big for me. Fast forward a year to graduate school at the University of Minnesota and the majority of my program was again using SPSS.