An implementation of the International Bureau of Weights and Measures (BIPM) generalized consensus estimators used to assign the reference value in a key comparison exercise. This can also be applied to any interlaboratory study. Given a set of different sources, primary laboratories or measurement methods this package provides an evaluation of the variance components according to the selected statistical method for consensus building. It also implements the comparison among different consensus builders and evaluates the participating method or sources against the consensus reference value. Based on a diverse set of references, DerSimonian-Laird (1986) <doi:10.1016/0197-2456(86)90046-2>, Vangel-Ruhkin (1999) <doi:10.1111/j.0006-341X.1999.00129.x>, for a complete list of references look at the reference section in the package documentation.

An implementation of the International Bureau of Weights and Measures (BIPM) generalized consensus estimators used to assign the reference value in a key comparison exercise. This can also be applied to any interlaboratory study. Given a set of different sources, primary laboratories or measurement methods this package provides an evaluation of the variance components according to the selected statistical method for consensus building. It also implements the comparison among different consensus builders and evaluates the participating method or sources against the consensus reference value. Based on a diverse set of references, DerSimonian-Laird (1986) <doi:10.1016/0197-2456(86)90046-2>, for a complete list of references look at the reference section in the package documentation.

This package contains data sets used in the book "R
Graphics Cookbook" by Winston Chang, published by O'Reilly
Media.

Data sets used in the book "R Graphics Cookbook" by Winston
Chang, published by O'Reilly Media.

Wrappers for 'GDAL' Utilities Executables
R's 'sf' package ships with self-contained 'GDAL'
executables, including a bare bones interface to several of the
'GDAL'-related utility programs collectively known as the 'GDAL'
utilities. For each of those utilities, this package provides an R
wrapper whose formal arguments closely mirror those of the 'GDAL'
command line interface. All of the utilities operate on data
stored in files and typically write their output to other
files. As a result, processing data stored in any of R's more
common spatial formats (i.e. those supported by the 'sp', 'sf',
and 'raster' packages) will require first writing to disk, then
processing with the package's wrapper functions before reading
back into R.