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All functions

autoreweight()
Automatically reweight sample units that may be oversampled
chindex()
Computes the CH index for selecting clustering thresholds
chindices()
Compute CH index over a range of clustering thresholds
codbinomial()
Fit a genealogical placement GMRF model using maximum likelihood
codls()
Fit a COD GMRF model using weighted least squares
codml()
Fit a genealogical placement GMRF model using maximum likelihood
coef.gpgmrf()
A Capitalized Title (ideally limited to 65 characters)
computeclusters()
Compute phylogenetic clusters by cutting tree at branches with large changes in coalescent odds
fitgpgmrf()
A Capitalized Title (ideally limited to 65 characters)
lbi()
Compute the local branching index (LBI)
neffextant()
Effective number of extant lineages
optsmooth()
Optimise smoothing parameter for a given tree and branch statistic
plot.gpgmrf()
A Capitalized Title (ideally limited to 65 characters)
plotclusters()
Plots a fit from `codls` and cluster assigment from `computeclusters`
print.gpgmrf()
A Capitalized Title (ideally limited to 65 characters)
rmsclo()
Root mean square coalescent log odds
tauprofile()
Evaluate the loss function of the cod model across a range of tau (precision parameter) values