Usage
GUM.validate(var.name, x.i, u.i, nu.i, type, distribution, measurement.fnc,
correlation = diag(length(var.name)),
shared.u.i = var.name, cl = 0.95,
cov.factor = "Student's t", sig.digits.U = 2)Arguments
var.name
Character vector of input variable names.
x.i
Vector of input variable values.
u.i
Vector of standard uncertainties (i.e. standard errors) for each input variable value.
nu.i
Degrees of freedom associated with each standard uncertainty.
type
Character vector of values "A" and "B" indicating the methods used to evaluate the standard
uncertainty of each input value. Standard uncertainties evaluated using statistical methods
are denoted Type A in the GUM, while stan
distribution
Character vector of probability distributions associated with the potential values
taken on by each input variable. The current possible choices are "Normal" (i.e. Gaussian),
"Triangular", or "Rectangular" (i.
measurement.fnc
Character string specifying the functional relationship between
input variables that defines the output measurement result.
correlation
Matrix giving the correlation between the different input variable values. Default is to assume
no correlation between input variable values.
shared.u.i
Character vector giving the relative relationship between the standard uncertainties
for each variable value. Groups of variables based on a common shared standard uncertainty
share will all share the same variabl
cl
Nominal confidence level to be used to compute the expanded uncertainty of the output measurement result.
Default value is 0.95.
cov.factor
Type of coverage factor to be used. The default is to use the value from the Student's t
distribution with confidence level specified above and nu.eff effective degrees of freedom.
sig.digits.U
Number of significant digits to be reported in the expanded uncertainty of the measurement result.
The measurement result will be rounded to the same number of decimal places.