CircNNTSR (version 2.3)

mnntsplotmarginal: Plots an MNNTS marginal density

Description

Plots the MNNTS marginal density function

Usage

mnntsplotmarginal(cestimates, M, component, ...)

Arguments

cestimates

Matrix of prod(M+1)*(R+1). The first R columns are the parameter number, and the last column the c parameter's estimators. The matrix could be the output of mnntsmanifoldnewtonestimation $cestimates

M

Vector with number of components in the MNNTS for each dimension

component

Number of the dimension for computing the marginal density

...

Arguments passed to the function plot

Author

Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez

References

Fernandez-Duran, J.J. and Gregorio-Dominguez, M.M. (2009) Multivariate Angular Distributions Based on Multiple Nonnegative Trigonometric Sums, Working Paper, Statistics Department, ITAM, DE-C09.1

Fernandez-Duran, J.J., Gregorio-Dominguez, M.M. (2014). Modeling Angles in Proteins and Circular Genomes Using Multivariate Angular Distributions Based on Nonnegative Trigonometric Sums. Statistical Applications in Genetics and Molecular Biology, 13(1), 1-18. doi:10.1515/sagmb-2012-0012

Examples

	set.seed(200)
M<-c(2,3)
R<-length(M)
data(Nest)
data<-Nest
est<-mnntsmanifoldnewtonestimation(data,M,R,100)
est
cest<-est$cestimates
mnntsplotmarginal(cest, M, 1)
mnntsplotmarginal(cest, M, 2)