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ipfr

A package for iterative proportional fitting on multiple marginal distributions in R. The goal of this package is to make survey raking, matrix balancing, and population synthesis easier.

Installation

Install the latest official version from CRAN:

install.packages("ipfr")

Install the development version of the package:

library(devtools)
install_github("dkyleward/ipfr", build_vignettes = TRUE)

Basic Usage

(See vignettes at the bottom for advanced topics.)

A basic matrix balance task:

mtx <- matrix(data = runif(9), nrow = 3, ncol = 3)
row_targets <- c(3, 4, 5)
column_targets <- c(5, 4, 3)
result <- ipu_matrix(mtx, row_targets, column_targets)

A basic survey balance task:

survey <- tibble(
  size = c(1, 2, 1, 1),
  autos = c(0, 2, 2, 1),
  weight = 1
)
targets <- list()
targets$size <- tibble(
  `1` = 75,
  `2` = 25
)
targets$autos <- tibble(
  `0` = 25,
  `1` = 50,
  `2` = 25
)
result <- ipu(survey, targets)

Creating synthetic households from the ipu() result:

synthesize(result$weight_tbl)

Vignettes

Using ipfr: https://cran.r-project.org/web/packages/ipfr/vignettes/using_ipfr.html
Common ipf problems: https://cran.r-project.org/web/packages/ipfr/vignettes/common_ipf_problems.html

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.