barents | Barents fish data set |
coefficient_path | Extract the regularization path of a PLNnetwork fit |
coef.PLNfit | Extract model coefficients |
coef.PLNLDAfit | Extracts model coefficients from objects returned by... |
coef.PLNmixturefit | Extract model coefficients |
compute_offset | Compute offsets from a count data using one of several... |
extract_probs | Extract edge selection frequency in bootstrap subsamples |
fitted.PLNfit | Extracts model fitted values from objects returned by 'PLN()'... |
fitted.PLNmixturefit | Extracts model fitted values from objects returned by... |
getBestModel | Best model extraction from a collection of models |
getModel | Model extraction from a collection of models |
mollusk | Mollusk data set |
oaks | Oaks amplicon data set |
pipe | Pipe operator |
PLN | Poisson lognormal model |
PLNfamily | An R6 Class to represent a collection of PLNfit |
PLNfit | An R6 Class to represent a PLNfit in a standard, general... |
PLNfit_diagonal | An R6 Class to represent a PLNfit in a standard, general... |
PLNfit_fixedcov | An R6 Class to represent a PLNfit in a standard, general... |
PLNfit_spherical | An R6 Class to represent a PLNfit in a standard, general... |
PLNLDA | Poisson lognormal model towards Linear Discriminant Analysis |
PLNLDAfit | An R6 Class to represent a PLNfit in a LDA framework |
PLNLDAfit_diagonal | An R6 Class to represent a PLNfit in a LDA framework with... |
PLNLDA_param | Control of a PLNLDA fit |
PLNmixture | Poisson lognormal mixture model |
PLNmixturefamily | An R6 Class to represent a collection of PLNmixturefit |
PLNmixturefit | An R6 Class to represent a PLNfit in a mixture framework |
PLNmixture_param | Control of a PLNmixture fit |
PLNmodels-package | PLNmodels: Poisson Lognormal Models |
PLNnetwork | Poisson lognormal model towards sparse network inference |
PLNnetworkfamily | An R6 Class to represent a collection of PLNnetworkfit |
PLNnetworkfit | An R6 Class to represent a PLNfit in a sparse inverse... |
PLNnetwork_param | Control of PLNnetwork fit |
PLN_param | Control of a PLN fit |
PLNPCA | Poisson lognormal model towards Principal Component Analysis |
PLNPCAfamily | An R6 Class to represent a collection of PLNPCAfit |
PLNPCAfit | An R6 Class to represent a PLNfit in a PCA framework |
PLNPCA_param | Control of PLNPCA fit |
plot.PLNfamily | Display the criteria associated with a collection of PLN fits... |
plot.PLNLDAfit | LDA visualization (individual and/or variable factor map(s))... |
plot.PLNmixturefamily | Display the criteria associated with a collection of... |
plot.PLNmixturefit | Mixture visualization of a 'PLNmixturefit' object |
plot.PLNnetworkfamily | Display various outputs (goodness-of-fit criteria,... |
plot.PLNnetworkfit | Extract and plot the network (partial correlation, support or... |
plot.PLNPCAfamily | Display the criteria associated with a collection of PLNPCA... |
plot.PLNPCAfit | PCA visualization (individual and/or variable factor map(s))... |
predict_cond | Predict counts conditionally |
predict.PLNfit | Predict counts of a new sample |
predict.PLNLDAfit | Predict group of new samples |
predict.PLNmixturefit | Prediction for a 'PLNmixturefit' object |
prepare_data | Prepare data for use in PLN models |
rPLN | PLN RNG |
sigma.PLNfit | Extract variance-covariance of residuals 'Sigma' |
sigma.PLNmixturefit | Extract variance-covariance of residuals 'Sigma' |
stability_selection | Compute the stability path by stability selection |
standard_error | Component-wise standard errors of B |
trichoptera | Trichoptera data set |
vcov.PLNfit | Calculate Variance-Covariance Matrix for a fitted 'PLN()'... |
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