Description
Usage
Arguments
Value
View source: R/RcppExports.R
Provides the core material to create an S3 object for auto.imu
| (, combs, full_model, alpha, compute_v, model_type, K, H,
G, robust, eff, bs_optimism, seed)
|
data |
A mat containing multiple columns of independent data with the same number of observations.
|
full_model |
A vector<string> that contains the largest / full model.
|
alpha |
A double that indicates the alpha level for CIs.
|
compute_v |
A string indicating the type of V matrix to generate
|
model_type |
A string that describes the model generation / transformation: 'ssm' or 'imu'
|
K |
A int that controls how many times the GMWM is run.
|
H |
A int that controls how many bootstraps occur.
|
G |
A int that controls how many guesses occur.
|
robust |
A bool that indicates whether to use classical or robust wavelet variance.
|
eff |
A double that indicates the efficiency to use.
|
bs_optimism |
A bool that indicates whether the model selection score should be calculated with bootstrap or asymptotics.
|
seed |
A unsigned int that is the seed one wishes to use.
|
model_str |
A vector<vector<string>> that gives a list of models to test.
|
A field<field<field<mat>>>
that contains the model score matrix and the best GMWM model object.
SMAC-Group/gmwm documentation built on Sept. 11, 2021, 10:06 a.m.