select_model: Select the most appropriate model
In countfitteR: Comprehensive Automatized Evaluation of Distribution Models for Count Data
Description
Usage
Arguments
Value
Examples
Description
Select the most appropriate model
Usage
1
select_model(fitlist)
Arguments
fitlist
a list of fits, as created by fit_counts.
Value
a data.frame with two columns: count
representing the name of the count and chosen model
with the model with the lowest BIC.
Examples
1
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5
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set.seed(1)
df <- data.frame(poisson1 = rpois(50, 2),
poisson2 = rpois(50, 5),
zip1 = rZIP(50, 2, 0.7),
zip2 = rZIP(50, 5, 0.7))
fitlist_separate <- fit_counts(df, model = c("pois", "zip"))
select_model(fitlist_separate)
countfitteR documentation built on Oct. 23, 2020, 5:11 p.m.
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Description Usage Arguments Value Examples
Description
Select the most appropriate model
Usage
1 | select_model(fitlist)
|
Arguments
fitlist |
a list of fits, as created by |
Value
a data.frame with two columns: count
representing the name of the count and chosen model
with the model with the lowest BIC.
Examples
1 2 3 4 5 6 7 | set.seed(1)
df <- data.frame(poisson1 = rpois(50, 2),
poisson2 = rpois(50, 5),
zip1 = rZIP(50, 2, 0.7),
zip2 = rZIP(50, 5, 0.7))
fitlist_separate <- fit_counts(df, model = c("pois", "zip"))
select_model(fitlist_separate)
|
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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