Authors@R: c(person("Eduard", "Szöcs", role = c("aut", "cre"),
Description: Misc functions programmed by Eduard Szöcs.
Provides read_regnie() to read gridded precipitation data from German Weather
Service  (DWD, see <http://www.dwd.de/> for more information).

Title: Data Preparation During and After the Use of the Experience
Description: Support in preparing a raw ESM dataset for statistical analysis. Preparation includes the handling of errors (mostly due to technological reasons) and the generating of new variables that are necessary and/or helpful in meeting the conditions when statistically analyzing ESM data. The functions in 'esmprep' are meant to hierarchically lead from bottom, i.e. the raw (separated) ESM dataset(s), to top, i.e. a single ESM dataset ready for statistical analysis. This hierarchy evolved out of my personal experience in working with ESM data.

Title: esotericR articles from lemnica.com
Description: Source code from esotericR articles at lemnica.com

Title: Easy Study of Patient DICOM Data in Oncology
Description: Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.
Imports: colorspace, DT, graphics, grDevices, igraph, js, mathjaxr,
Matrix, methods, misc3d, openxlsx, progress, qs, Rcpp (>=
1.0.7), Rdpack, rgl (>= 0.107.14), Rvcg, shiny, shinyWidgets,
Packaged: 2022-06-20 14:42:06 UTC; cfontbonne
Author: Cathy Fontbonne [aut, cre] (LPC-CAEN, France),
Jean-Marc Fontbonne [aut] (LPC-CAEN, France),

Packaged: 2022-07-15 14:04:49 UTC; cfontbonne

Packaged: 2022-10-26 17:51:03 UTC; cfontbonne

Packaged: 2022-11-30 12:33:45 UTC; cfontbonne

Title: Explore and Visualize Your Data Interactively
Authors@R: c(person("Fanny", "Meyer", email = "fanny.meyer@dreamrs.fr", role = c("aut")),
person("Victor", "Perrier", email = "victor.perrier@dreamrs.fr", role = c("aut", "cre")))
Description: A 'shiny' gadget to create 'ggplot2' charts interactively with drag-and-drop to map your variables.
You can quickly visualize your data accordingly to their type, export to 'PNG' or 'PowerPoint',
and retrieve the code to reproduce the chart.
Imports: miniUI, rstudioapi, shiny, htmltools, jsonlite, shinyWidgets,
ggplot2, ggthemes, RColorBrewer, scales, stringi