Quantifies observation error through use of a ``Gold
Standard'' of observations.
Usage
observation.error(obs, gold.standard = NULL, ...)
Value
t
Probability of forecasting an event, when an event
occurs. A perfect value is 1.
u
Probability of forecasting that no event will occur,
when and event occurs. A perfect value is 0.
Arguments
obs
Observation made by method to be quantified. This
information can be entered two ways. If obs is a vector of
length 4, it is assumed that is contains the values c(n11,
n10, n01, n00), where n11 are the number of correctly
predicted events and n01 is the number of incorrectly
predicted non-events.
gold.standard
The gold standard. This is considered a
higher quality observation (coded {0, 1 } ).