Function reference • blockmodels4inventories

All functions
`biclusteringLBM()`	biclusteringLBM: perform a biclustering on incidence/count matrix using the blockmodel library (LBM models)
`buildMatrix()`	buildMatrix: Build an incidence matrix. number of varieties by specie in a given agrosystem
`covariatesanovaLBM()`	CovariatesanovaLBM: Create a list of synthetic covariate to fit a LMB with an anova like covariate
`covariatesDegreeCorrectedLBM()`	CovariatesDegreeCorrectedLBM: Create a list of synthetic covariate to fit a degree-corrected LB
`dfcount`	A data.frame of counts of type of supply
`dfCountGeo`	A data.frame of crops by study_grp
`dfcrop`	A data frame of crops by farm
`plotMap()`	a leaflet map colorized by cluster
`plotMapProfile()`	plotMapProfile a graphical function combining 2 or 3 plots of the results of a biclustering analysis
`plotMatrix()`	a function to plot an incidence matrix (input M) or a partition results of biclusteringLBM() function (inputs df.row, df.col)
`plotPieOnMap()`	plotPieOnMap a graphical function to plot a map and pies by localisation

Reference