search_bmop: Greedy penalized log-likelihood search

In gherardovarando/Rbmop: B-spline MoPs densities and conditional densities

Description

Aproximation of a density f(x_1,…,x_n) or conditional density

Usage

search_bmop(data, conditional = F, k = Rbmop::bmopPar()$k,
  corrected = FALSE, knotsMethod = Rbmop::bmopPar()$knotsMethod, ...)

Arguments

data	data.frame, matrix or vector, the variables must be in the right order (the columns of data)
conditional	logical
k	positive number or "BIC"
corrected	logical
knotsMethod	the method to use in knots generation
...	additional parameters

Value

A bmop object, the aproximations of f.

Examples

data<-rnorm(100)
bmopS<-search_bmop(data=data)
plot(bmopS)

gherardovarando/Rbmop documentation built on May 17, 2019, 4:17 a.m.