reltest2_simulate: Random training data from one model
In fitdistcp: Distribution Fitting with Calibrating Priors for Commonly Used Distributions
View source: R/03b_reltest2_libs.R
reltest2_simulate R Documentation
Random training data from one model
Description
Random training data from one model
Usage
reltest2_simulate(model = "gev", nx = 50, tt, params)
Arguments
model
which distribution to test. Possibles values are
"gev",
"gpd_k1",
"gev_pred1".
nx
the length of the training data.
tt
the predictor
params
values for the parameters for the specified distribution
Value
Vector
fitdistcp documentation built on June 8, 2025, 1:04 p.m.
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View source: R/03b_reltest2_libs.R
| reltest2_simulate | R Documentation |
Random training data from one model
Description
Random training data from one model
Usage
reltest2_simulate(model = "gev", nx = 50, tt, params)
Arguments
model |
which distribution to test. Possibles values are "gev", "gpd_k1", "gev_pred1". |
nx |
the length of the training data. |
tt |
the predictor |
params |
values for the parameters for the specified distribution |
Value
Vector
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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