fepois: Fit a Poisson model with multiple group fixed effects
In lfe: Linear Group Fixed Effects

fepois

R Documentation

Fit a Poisson model with multiple group fixed effects

Fit a Poisson model with multiple group fixed effects

fepois(
  formula,
  data,
  offset = NULL,
  subset = NULL,
  robust = TRUE,
  cluster = NULL,
  pseudo_rsq = FALSE,
  tol = 1e-10
)

`formula`	an object of class '"formula"' (or one that can be coerced to that class): a symbolic description of the model to be fitted. Similarly to 'lm'. See Details.
`data`	a data frame containing the variables of the model.
`offset`	this can be used to specify an a priori known component to be included in the linear predictor during fitting. This should be `NULL` or a numeric vector or matrix of extents matching those of the response. One or more `offset` terms can be included in the formula instead or as well, and if more than one are specified their sum is used. See `model.offset`.
`subset`	an optional vector specifying a subset of observations to be used in the fitting process.
`robust`	logical value to return a robust standard error computation.
`cluster`	optional variable to group by and compute sandwich-type robust standard errors. Should be a formula of the form `~x_j` or an object that be coerced to a formula.
`pseudo_rsq`	logical value to return a a pseudo-R2 based on Kendall's correlation.
`tol`	tolerance value for GLM convergence criteria.