decide: Make a decision based on the BIC value
In countfitteR: Comprehensive Automatized Evaluation of Distribution Models for Count Data
Description
Usage
Arguments
See Also
Examples
Description
Select the most appropriate distribution for the count data in the html-friendly format.
Usage
1
decide(summary_fit, separate)
Arguments
summary_fit
a result of the summary_fitlist function.
separate
logical. If TRUE, each count is separately
fitted to the model. If FALSE, all counts are fitted to the same models
having the count name as the independent variable.
See Also
Examples
1
2
3
4
df <- data.frame(poisson = rpois(25, 0.3), binomial = rbinom(25, 1, 0.8))
fc <- fit_counts(df, model = "all")
summ <- summary_fitlist(fc)
decide(summ, separate = FALSE)
countfitteR documentation built on Oct. 23, 2020, 5:11 p.m.
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Description Usage Arguments See Also Examples
Description
Select the most appropriate distribution for the count data in the html-friendly format.
Usage
1 | decide(summary_fit, separate)
|
Arguments
summary_fit |
a result of the |
separate |
|
See Also
Examples
1 2 3 4 | df <- data.frame(poisson = rpois(25, 0.3), binomial = rbinom(25, 1, 0.8))
fc <- fit_counts(df, model = "all")
summ <- summary_fitlist(fc)
decide(summ, separate = FALSE)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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