Automated access to old World Fertility Survey data saved in fixed-width format based on ISI-formatted codebooks.
GPL (>= 2.0). Additionally, publications to which the Read.isi-package has contributed should refer to this package. Use license('Read.isi') for information on how to refer to this package.

Read ESA SNAP Processed Raster Format in R
It helps you to read (.dim) images with CRS directly into R programming. One can import both Sentinel 1 and 2 images or any processed data with this software.

Markus Loecher, Nikon Systems Inc, Nikon Digital Technologies
Co., Ltd.
This package provides functions for reading JPEG files,
extracted from the archived 'rimage' package.
Orphaned on 2012-12-21 as the maintainer failed to
respond to requests to update it for R >= 2.14.0

Andrew Karl, Jennifer Broatch, and Jennifer Green
The RealVAMs package fits a multivariate value-added model (VAM) (see Broatch and Lohr 2012) with normally distributed test scores and a binary outcome indicator. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.

numDeriv, Rcpp (>= 0.11.2), methods, stats, utils

Andrew T. Karl, Jennifer Broatch, and Jennifer Green
Fits a multivariate value-added model (VAM), see Broatch and Lohr (2012) <doi:10.3102/1076998610396900>, with normally distributed test scores and a binary outcome indicator. A pseudo-likelihood approach, Wolfinger (1993) <doi:10.1080/00949659308811554>, is used for the estimation of this joint generalized linear mixed model.  This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.
numDeriv, Rcpp (>= 0.11.2), methods, stats, utils, grDevices,
graphics

Fits a multivariate value-added model (VAM), see Broatch and Lohr (2012) <doi:10.3102/1076998610396900>, with normally distributed test scores and a binary outcome indicator. A pseudo-likelihood approach, Wolfinger (1993) <doi:10.1080/00949659308811554>, is used for the estimation of this joint generalized linear mixed model.  The inner loop of the pseudo-likelihood routine (estimation of a linear mixed model) occurs in the framework of the EM algorithm presented by Karl, Yang, and Lohr (2013) <DOI:10.1016/j.csda.2012.10.004>. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.