region | R Documentation |
Calculates a confidence region. se.fit
from predict.glm
is multiplied by z
and added or subtracted from fits to give hi
and lo
columns in return value. z
is normal quantile for the one-tailed probablitity corresponding to conf
, e.g. ~ 1.96 for conf = 0.95
. If non-missing y
is only 0 or 1, the model family is binomial and resulting confidence intervals are back-transformed using plogis
.
region(
x,
y,
family = if (all(y %in% 0:1, na.rm = TRUE)) "binomial" else "gaussian",
length.out = 1000,
conf = 0.95,
...
)
x |
x values |
y |
y values |
family |
gaussian by default, or binomial for all y either zero or 1 |
length.out |
number of prediction points |
conf |
width of confidence interval; logical TRUE defaults to 0.95 |
... |
passed to |
data.frame with x, y, hi, lo at 1000 points
https://stat.ethz.ch/pipermail/r-help/2010-September/254465.html
Other regression functions:
metastats()
,
model()
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