| mnntsmarginal {CircNNTSR} | R Documentation |
Marginal density function of the MNNTS model
Description
Marginal density function for one dimension of the MNNTS model evaluated at a point
Usage
mnntsmarginal(cestimatesarray, M, component, theta)Arguments
cestimatesarray |
Matrix of prod(M+1)*(R+1). The first R columns are the parameter number, and the last column is the c parameter's estimators |
M |
Vector of length R with number of components in the MNNTS for each dimension |
component |
Number of the dimension for computing the marginal |
theta |
An angle in radians (or a vector of angles) |
Value
The function returns the density function evaluated at theta
Author(s)
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
mnntsmarginal(cest,M,1,pi)