The current version of the metRology package focuses on statistical functions for uncertainty analysis and for the analysis of interlaboratory studies and key comparisons.
A number of the functions focus on uncertainty analysis using the methods outlined in the JCGM Guide to the Expression of Uncertainty in Measurement (often referred to as the GUM). These methods for uncertainty analysis are widely accepted and their use is recommended by many different organizations, including the eight sponsoring organizations of the JCGM, the International Bureau of Weights and Measures (BIPM), the International Electrotechnical Commission (IEC), the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC), the International Laboratory Accreditation Cooperation (ILAC), the International Organization for Standardization (ISO), the International Union of Pure and Applied Physics (IUPAP), the International Union of Pure and Applied Chemistry (IUPAC), and the International Organization of Legal Metrology (OIML).
Other functions for uncertainty analysis implement the Monte Carlo methods in the JCGM Supplement 1 to the "Guide to the Expression of Uncertainty in Measurement". Use of Monte Carlo methods for uncertainty analysis may be preferred for measurements in which the value of the measurement result is a strongly nonlinear function of its input values or where the measurement result is near a local maximum or minimum of the measurement function.
Tools for analysis of interlaboratory data include functions for estimation of the mean in a Gaussian random-effects model using the DerSimonian-Laird, Mandel-Paule, and Vangel-Rukhin methods and functions to compute and plot Mandel's h and k statistics.