Description Usage Arguments Value See Also Examples
Counts are fitted to model(s) using the count name as the explanatory variable.
Estimates are presented in the table below along with the BIC values of their models.
Estimated coefficients of models (lambda
for all distributions, theta
for NB and ZINB,
r
for ZIP and ZINB).
1 | summary_fitlist(fitlist)
|
fitlist |
a list of fits, as created by |
Data frame with summarised results of all distribution models.
Count: the name of the original count.
lambda: λ - Poisson mean, lower and upper confidence intervals.
BIC: Bayesian information criterion
theta: θ - dispersion parameter
r: probability of excess zeros.
1 2 3 | df <- data.frame(poisson = rpois(25, 0.3), binomial = rbinom(25, 1, 0.8))
fc <- fit_counts(df, model = "all")
summary_fitlist(fc)
|
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