c(person("Jingning", "Shi", role = c("aut", "cre"), email = "snow940220@bjfu.edu.cn"), person("Wei", "Xiang", role = "aut"))
Jingning Shi [aut, cre],
Wei Xiang [aut]
testthat, knitr, shinytest, mockery, spelling
magrittr (>= 1.5), png, jpeg, tiff, bmp, magick, imager, dplR,
spatstat, measuRing, shiny, dplyr, shinydashboard, shinyWidgets
Use morphological image processing and edge detection algorithms to automatically measure tree ring widths on digital images. Users can also manually mark tree rings on species with complex anatomical structures. The arcs of inner-rings and angles of successive inclined ring boundaries are used to correct ring-width series. The package provides a Shiny-based application, allowing R beginners to easily analyze tree ring images and export ring-width series in standard file formats.

magrittr (>= 1.5), png, jpeg, tiff, bmp, magick, imager, dplR,
spatstat.geom, measuRing, shiny, dplyr, shinydashboard,
shinyWidgets

c(person("Brault", "Vincent", email = "vincent.brault@univ-grenoble-alpes.fr",
role = c("cre","aut")),person("Cougoulat", "Glenn", email = "glenn.cougoulat@univ-grenoble-alpes.fr",
role = c("ctb")),person("Ouadah", "Sarah", email = "sarah.ouadah@agroparistech.fr",
role = c("ctb")),person("Sansonnet", "Laure", email = "laure.sansonnet@agroparistech.fr",
role = c("ctb")))
Nonparametric approach to estimate the location of block boundaries (change-points) of
non-overlapping blocks in a random symmetric matrix which consists of random variables whose
distribution changes from block to block.
BRAULT Vincent, OUADAH Sarah, SANSONNET Laure and LEVY-LEDUC Celine (2017) <doi:10.1016/j.jmva.2017.12.005>.
Matrix, capushe, shiny, utils, methods, Rcpp
Brault Vincent [cre, aut],
Cougoulat Glenn [ctb],
Ouadah Sarah [ctb],
Sansonnet Laure [ctb]

This package builds multi-fidelity cokriging models from
responses with different levels of fidelity.  Important
functions : MuFicokm, predict.MuFicokm, summary.MuFicokm.

This package contains functions for model selection and
model averaging based on information criteria (AICc and
alikes).