ZIPLN  R Documentation 
Fit the multivariate Zero Inflated Poisson lognormal model with a variational algorithm. Use the (g)lm syntax for model specification (covariates, offsets, subset).
ZIPLN(
formula,
data,
subset,
zi = c("single", "row", "col"),
control = ZIPLN_param()
)
formula 
an object of class "formula": a symbolic description of the model to be fitted. 
data 
an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which PLN is called. 
subset 
an optional vector specifying a subset of observations to be used in the fitting process. 
zi 
a character describing the model used for zero inflation, either of

control 
a listlike structure for controlling the optimization, with default generated by 
Covariates for the ZeroInflation parameter (using a logistic regression model) can be specified in the formula RHS using the pipe
(~ PLN effect  ZI effect
) to separate covariates for the PLN part of the model from those for the ZeroInflation part.
Note that different covariates can be used for each part.
an R6 object with class ZIPLNfit
The class ZIPLNfit
data(trichoptera)
trichoptera < prepare_data(trichoptera$Abundance, trichoptera$Covariate)
## Use different models for zeroinflation...
myZIPLN_single < ZIPLN(Abundance ~ 1, data = trichoptera, zi = "single")
## Not run:
myZIPLN_row < ZIPLN(Abundance ~ 1, data = trichoptera, zi = "row")
myZIPLN_col < ZIPLN(Abundance ~ 1, data = trichoptera, zi = "col")
## ...including logistic regression on covariates
myZIPLN_covar < ZIPLN(Abundance ~ 1  1 + Wind, data = trichoptera)
## End(Not run)
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