spatstat.geom, measuRing, shiny, dplyr, shinydashboard,

Authors@R: 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",
Description: 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>.
Imports: Matrix, capushe, shiny, utils, methods, Rcpp

Maintainer: Loic Le Gratiet <loic.legratiet@gmail.com>
Description: This package builds multi-fidelity cokriging models from
responses with different levels of fidelity.  Important
functions : MuFicokm, predict.MuFicokm, summary.MuFicokm.
Packaged: 2012-12-11 09:08:27 UTC; ADM_GratietL

Packaged: 2012-12-12 09:00:15 UTC; ADM_GratietL

Packaged: 2012-12-14 09:07:23 UTC; ADM_GratietL

Description: This package contains functions for model selection and
model averaging based on information criteria (AICc and

Description: Model selection and model averaging based on information

Suggests: lme4, MASS, mgcv, nlme, nnet, spdep

Suggests: lme4, MASS, mgcv, nlme, nnet, spdep, survival

Description: Model selection and model averaging based on information criteria
Enhances: aod, coxme, glmmML, MCMCglmm, pscl, spdep, unmarked, ordinal,
gee, splm, logistf, caper, betareg, aods3, cplm

Suggests: stats4, nlme, mgcv (>= 1.7.5), lme4 (>= 1.1.0), gamm4, MASS,
Enhances: aod, aods3, betareg, caper, coxme, cplm, gee, glmmML,
logistf, MCMCglmm, ordinal, pscl, spdep, splm, unmarked

logistf, MCMCglmm, ordinal, pscl, spdep, splm, unmarked, geeM

Imports: graphics, methods, stats, stats4, Matrix
Suggests: nlme, mgcv (>= 1.7.5), lme4 (>= 1.1.0), gamm4, MASS, nnet,