Reference

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