sm.binomial {sm} | R Documentation |
This function estimates the regression curve using the local likelihood approach for a vector of binomial observations and an associated vector of covariate values.
sm.binomial(x, y, N = rep(1, length(y)), h, ...)
x |
vector of the covariate values |
y |
vector of the response values; they must be nonnegative integers not larger
than those of N .
|
h |
the smoothing parameter; it must be positive. |
N |
a vector containing the binomial denominators. If missing, it is assumed to contain all 1's. |
... |
other optional parameters are passed to the sm.options
function, through a mechanism which limits their effect only to this
call of the function; those relevant for this function are the following:
|
add |
if graphical output is produced, this parameter controls whether a
new plot is created, or graphical output is added to the existing one.
Default: add=F .
|
col |
colour used for plotting curves and points. Default: col=1 .
|
display |
controls the type of graphical output; possible values are
"estimate" (default), "se" , "none" .
|
eval.points |
the vector of points on the x axis where the regression must be
estimated. If the parameter eval.points is not given, this vector
is chosen to be formed by ngrid equally spaced points between
min(x) and `max(x) |
.
see Sections 3.4 and 5.4 of the reference below.
A list containing vectors with the evaluation points, the corresponding probability estimates, the linear predictors, the upper and lower points of the variability bands (on the probability scale) and the standard errors on the linear predictor scale.
graphical output will be produced, depending on the value of the
display
parameter.
Bowman, A.W. and Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford.
sm.binomial.bootstrap
, sm.poisson
, sm.options
, glm
, binning
# the next example assumes that all binomial denominators are 1's sm.binomial(dose, failure, h=0.5) # in the next example, (some of) the dose levels are replicated sm.binomial(dose, failure, n.trials, h=0.5)