modelNO: Generate data with model-based approach ignoring...
In ConNEcT: Contingency Measure-Based Networks for Binary Time Series
modelNO R Documentation
Generate data with model-based approach ignoring auto-dependence
Description
This function generates a new time serie that is similar to the original one in relative frequency,
but not in auto-dependence by drawing from a Bernoulli distribution with the relative frequency as parameter.
Usage
modelNO(vec)
Arguments
vec
Time series vector
Value
Time series vector that is similar to the original one considering relative frequency
Examples
ts=rep(c(1,1,1,1,1,0,0,0,0,0),15)
modelNO(ts)
ConNEcT documentation built on May 9, 2022, 9:05 a.m.
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| modelNO | R Documentation |
Generate data with model-based approach ignoring auto-dependence
Description
This function generates a new time serie that is similar to the original one in relative frequency, but not in auto-dependence by drawing from a Bernoulli distribution with the relative frequency as parameter.
Usage
modelNO(vec)
Arguments
vec |
Time series vector |
Value
Time series vector that is similar to the original one considering relative frequency
Examples
ts=rep(c(1,1,1,1,1,0,0,0,0,0),15) modelNO(ts)
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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