PBreg
returns an object of class "PBreg"
, for which
the print
, predict
and plot
methods are defined.
An object of class "PBreg"
is a list composed of the following
elements:
coefficientsa matrix of 3 columns and 2 rows, containing the
estimates of the intercept and slope, along with their confidence
boundaries.
residualsdefined as in the "lm"
class, as the
response minus the fitted value.
fitted.valuesthe fitted values.
modelthe model data frame used.
na vector of two values:
the number of observations read, and the number of observations used.
SA vector of all slope estimates.
IA vector of all
intercept estimates.
adjA vector of fit parameters, where Ss
is the number of estimated slopes (length(S)
), K is the offset
for slopes <(-1), M1 and M2 are the locations of confidence
boundaries in S
, and l and L are the numbers of points
above and below the fitted line, used in cusum calculation.
cusumA
vector of cumulative sums of residuals sorted by the D-rank.
DiA
vector of D-ranks.