README.md

In c-foschi/mlintervals: Interpolation of interval averaged data using a maximum likelihood method

mapinterval

R package for interpolating interval average data. Only method provided is a mean conserving quadratic spline that happens to be the maximum a-posteriori estimator for a Wiener data generating process.

Installing

Package can be installad directly from source using devtools:

library(devtools)
install_github("c-foschi/mapinterval")

Package limSolve is required for tridiagonal system solving and will be automatically installed.

A small running example of how to use it:

M= c(0, 1, -1, 2, 4)

library(mapinterval)
mod= interv_fit(M)
mod
# Object of class interv_fit.
# Number of intervals evaluated: 5

plot(mod)

c-foschi/mlintervals documentation built on July 1, 2020, 1:25 a.m.