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.
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)
