gLP.basis {BayesGOF}  R Documentation 
g
Determines the LP basis for a given parametric prior distribution.
gLP.basis(x, g.par, m, con.prior, ind)
x 

g.par 
Estimated parameters for specified prior distribution (i.e beta prior: 
m 
Number of LPPolynomial basis. 
con.prior 
Specified conjugate prior distribution for basis functions. Options are 
ind 
Default is NULL which returns matrix with 
Matrix with m
columns of values for the LPBasis functions evaluated at x
values.
Subhadeep Mukhopadhyay, Doug Fletcher
Mukhopadhyay, S. and Fletcher, D., 2018. "Generalized Empirical Bayes via Frequentist Goodness of Fit," Nature Scientific Reports, 8(1), p.9983, https://www.nature.com/articles/s41598018281305.
Mukhopadhyay, S., 2017. "LargeScale Mode Identification and DataDriven Sciences," Electronic Journal of Statistics, 11(1), pp.215240.
Mukhopadhyay, S. and Parzen, E., 2014. "LP Approach to Statistical Modeling," arXiv: 1405.2601.