cube_from_NumericVector

<p>I/O: Only used within Rcpp
Note: Same workaround as <code>cx_cube_from_ComplexVector</code></p>

internal

Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate time series. The package is based on the methods presented in C. Kirch et al (2018) <doi:10.1214/18-BA1126>, A. Meier (2018) <https://opendata.uni-halle.de//handle/1981185920/13470> and Y. Tang et al (2023) <doi:10.48550/arXiv.2303.11561>. It was supported by DFG grants KI 1443/3-1 and KI 1443/3-2.

Renate Meyer

beyondWhittle

Bayesian Spectral Inference for Time Series

Alexander Meier

Claudia Kirch

Matthew C. Edwards

Yifu Tang

cube_from_NumericVector function

I/O: Only used within Rcpp
Note: Same workaround as cx_cube_from_ComplexVector — cube_from_NumericVector

I/O: Only used within Rcpp
Note: Same workaround as <code>cx_cube_from_ComplexVector</code>

cube_from_NumericVector: I/O: Only used within Rcpp Note: Same workaround as `cx_cube_from_ComplexVector`

Description

Usage

Arguments