First CRAN release of the new �xpose�

Dear NMUsers, We are proud to announce the first release of the new xpose v0.4.0 package on CRAN thanks to a joint effort between Pharmetheus, Pfizer and Uppsala University. Inspired by xpose4, this new version is actively being redesigned around the popular tidyverse packages ggplot2, dplyr and readr. This enables the creation of streamlined workflows for model diagnostics: xpose_data(runno = '001') %>% # Import model output filter(OCC = 3) %>% # Use dplyr verbs to modify the xpdb dv_vs_ipred(aes(point_color = SEX, line_color = SEX), # Map variable to sub layers title = 'Hello NMUsers! The OFV is _at_ofv', # Add keywords that will be replaced by their actual value facets = 'MED1', ncol = 1, nrow = 1, page = 1:2) %>% # Facet over multiple pages in ggplot2 xpose_save(file = 'dv_vs_ipred.pdf') # Save your plot We have added plenty of other features to help modelers with their daily work. To get started, dont miss our live ISOP webinar on December 8th ( http://discuss.go-isop.org/t/introduction-to-the-new-xpose-r-package/1097?u= guiastrennec). You can also take a look at the xpose website ( https://uupharmacometrics.github.io/xpose/) and our xpose cheat-sheet at https://uupharmacometrics.github.io/xpose/articles/cheatsheet.pdf. Sincerely, The xpose development team B. Guiastrennec, A.C. Hooker, A. Olofsson, S. Ueckert, R. Keizer, K. Harling, M.K. Smith, E. Plan and M.O. Karlsson -- Sebastian Ueckert, Researcher Pharmacometrics Research Group, Dpt Pharmaceutical Biosciences, Uppsala University www.farmbio.uu.se/research/researchgroups/pharmacometrics/