add four functions to generate random bipartite graphs: bipartite.from.probability(), bipartite.from.sequence(), bipartite.from.distribution(), and bipartite.add.blocks()
set diagonal in positive and negative backbone object matrices to NA
corrected p-value computation in fixedfill()
remove running time from backbone object summary dataframe
update documentation, readme, vignette
backbone 1.4.0
add fixedcol() function - null model where column degrees are fixed and row sums are allowed to vary
add fixedfill() function - null model where the number of 1's in the matrix (number of edges in the graph) are fixed
replace class.convert() with tomatrix() and frommatrix()
use updated Poisson binomial calculations (more accurate approximation)
hyperg() now called fixedrow()
remove bipartite.null function
update documentation, readme, vignette
include logo
backbone 1.3.1
speedups to sdsm
backbone 1.3.0
update sdsm to use the bicm model - a new, fast, approximation of the probabilities
remove all other models from sdsm
if an older model is called in sdsm, show warning that model has changed
add new function bipartite.null which lets the user pick if they want rows/cols to be fixed or vary
update fwer m parameter
backbone 1.2.2
fix fdsm to accept all graph inputs
rename sdsm "chi2" model to "rcn"
universal function can now return weighted projection
universal function now has a narrative parameter
class.convert now drops (with warning) rows and columns with zero sum before sending output to universal, sdsm, fdsm, or hyperg.
update citations
backbone 1.2.1
add narrative parameter to backbone.extract for suggested manuscript text
add scobit model to sdsm
add time unit to runtime calculation
minor spelling and comment fixes
backbone 1.2.0
add support for sparse matrix, igraph, network, and edgelist objects (see 'class.convert')
add family-wise error rate test corrections (see 'backbone.extract')
sdsm: add multiple methods for computing initial probabilities (see 'sdsm' details) one of which uses convex optimization (see 'polytope')
sdsm: update poisson binomial computation method to increase speed (see 'sdsm' and 'rna')
add more descriptives to summary dataframe output of backbone object
update documentation of functions
update vignette to reflect package changes
bug fixes for R 4.0.0
backbone 1.1.0
add support for sparse matrices
add support for speedglm in sdsm
add poisson binomial approx. in sdsm
add summary output to sdsm, fdsm, hyperg, universal