These functions converts the parameters between the general Gaussian
mixture (copula) model and the special GMCM.
Most functions of the GMCM packages use the theta
format described in rtheta.
Usage
full2meta(theta)
meta2full(par, d)
Arguments
theta
A list of parameters for the full model. Formatted as described
in rtheta.
par
A vector of length 4 where par[1] is the probability of
coming from the first component, par[2] is the mean value,
par[3] is the standard deviation, and par[4] is the
correlation of the reproducible comp
d
The dimension of the mixture distribution.
Value
full2meta returns a numeric vector of length 4 formatted as
par.
meta2full returns a formatted list of parameters as described by
rtheta.
Details
If a theta is supplied which is not on the form of Li et. al. (2011)
the output is coerced by simply picking the first elements of the first mean
vector and first covariance matrix as mean and standard deviation,
respectively.
References
Li, Q., Brown, J. B. J. B., Huang, H., & Bickel, P. J. (2011).
Measuring reproducibility of high-throughput experiments. The Annals of
Applied Statistics, 5(3), 1752-1779. doi:10.1214/11-AOAS466
Tewari, A., Giering, M., & Raghunathan, A. (2011). Parametric
Characterization of Multimodal Distributions with Non-gaussian Modes. IEEE
11th International Conference on Data Mining Workshops, 2011, 286-292.
doi:10.1109/ICDMW.2011.135