Generalized Competing Event Model (gcerisk)
Generalized competing event model based on Cox PH model and Fine-Gray model. This function is designed to develop optimized risk-stratification methods for competing risks data, such as described in: 1. Carmona R, Gulaya S, Murphy JD, Rose BS, Wu J, Noticewala S,McHale MT, Yashar CM, Vaida F, and Mell LK.(2014) Validated competing event model for thestage I-II endometrial cancer population. Int J Radiat Oncol Biol Phys.89:888-98. <DOI:10.1016/j.ijrobp.2014.03.047>. 2. Carmona R, Zakeri K, Green G, Hwang L, Gulaya S, Xu B, Verma R, Williamson CW, Triplett DP, Rose BS, Shen H, Vaida F, Murphy JD, and Mell LK. (2016) Improved method to stratify elderly cancer patients at risk for competing events. J Clin Oncol.in press. <DOI:10.1200/JCO.2015.65.0739>.
EXIF Image Data in R (exifr)
Reads EXIF data using ExifTool <http://…/> and returns results as a data frame. ExifTool is a platform-independent Perl library plus a command-line application for reading, writing and editing meta information in a wide variety of files. ExifTool supports many different metadata formats including EXIF, GPS, IPTC, XMP, JFIF, GeoTIFF, ICC Profile, Photoshop IRB, FlashPix, AFCP and ID3, as well as the maker notes of many digital cameras by Canon, Casio, FLIR, FujiFilm, GE, HP, JVC/Victor, Kodak, Leaf, Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson, Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung, Sanyo, Sigma/Foveon and Sony.
Estimating IRT Parameters using the IRT Methodology (IRTpp)
An implementation of the IRT paradigm for the scoring of different instruments measuring latent traits (a.k.a Abilities) and estimating item parameters for a variety of models, this package is highly optimized using Rcpp and carefully written R for the rest of the package, it aims to expand IRT applications to those applications that require faster and more robust estimation procedures. See the IRTpp documentation and github site for more information and examples.