nicenb: Lisa's Negative Binomial Regression Table Function
In lisaerein/daphne: This package creates nice looking regression tables.

This function creates a nice looking regression table from a glm.nb object

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nicenb(df, fit, intercept = FALSE, ref = FALSE, labels = NA,
  blanks = FALSE, overallp = TRUE, est.dec = 2, ci.dec = 2,
  pval.dec = 3)

`df`	Dataframe.
`fit`	glm.nb model object.
`intercept`	If TRUE the intercept will be included in the table. Default is FALSE.
`ref`	If TRUE, the reference category gets its own line (left blank). Default is FALSE.
`labels`	Covariate labels - default is NA (variable names are used).
`blanks`	If TRUE, blank lines will be inserted separating covariates - default is FALSE.
`overallp`	If TRUE, a likelihood ratio test pvalue (using drop1 Chisq tests) will be calculated for each variable. Default is TRUE.
`est.dec`	Number of decimal places for estimates - default is 2.
`ci.dec`	Number of decimal places for CI - default is 2.
`pval.dec`	Number of decimal places for pvalues - default is 3.