GenerateDataBest: Generate multiple samples from a fitted model with specified...
In mcullan/ecic:
Description
Usage
Arguments
Value
Examples
View source: R/generate_data.R
Description
Generate multiple samples from a fitted model with specified best performing
model
Usage
1
GenerateDataBest(n, true, parameters, best, models, N, ic = "AIC", ...)
Arguments
n:
Sample size.
true:
A string giving the name of the model to generate data from.
param:
A vector of parameters specifying a fitted true model.
best:
A string giving the name of the model to be given as best.
models:
A string vector of model names for selecting between.
N:
Number of bootstrap samples.
ic:
String giving which information criterion to use (e.g. 'AICc', 'BIC')
Value
: A list containing the following:.
Examples
1
GenerateData(25, "norm", c(mu = 0.3, sd = 1.2))
mcullan/ecic documentation built on Sept. 3, 2019, 9:57 a.m.
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Description Usage Arguments Value Examples
View source: R/generate_data.R
Description
Generate multiple samples from a fitted model with specified best performing model
Usage
1 | GenerateDataBest(n, true, parameters, best, models, N, ic = "AIC", ...)
|
Arguments
n: |
Sample size. |
true: |
A string giving the name of the model to generate data from. |
param: |
A vector of parameters specifying a fitted true model. |
best: |
A string giving the name of the model to be given as best. |
models: |
A string vector of model names for selecting between. |
N: |
Number of bootstrap samples. |
ic: |
String giving which information criterion to use (e.g. 'AICc', 'BIC') |
Value
: A list containing the following:.
Examples
1 | GenerateData(25, "norm", c(mu = 0.3, sd = 1.2))
|
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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