Display the most important input parameters used in calling the ‘muhaz’ function.
It also displays some of the output data. Common to all three methods: * number of observations * number of censored observations * bandwidth method used (global, local or nearest neighbor) * boundary correction type (none, left only, both left and right) * kernel type (rectangle, Epanechnikov, biquadradic, triquadratic) * minimum time * maximum time * number of points in MSE minimization grid * number of points in estimation grid * pilot bandwidth * estimated IMSE for optimal bandwidth For bw.method="global" also reports optimal global bandwidth. For bw.method="knn" also reports optimal number of nearest neighbors. For bw.method="local" and bw.method="knn" also reports smoothing bandwidth used to smooth the optimal local bandwidths.
## S3 method for class 'muhaz' summary(object, ...)
object |
Object of class |
... |
Ignored for now. |
data(cancer, package="survival") attach(ovarian) fit <- muhaz(futime, fustat) summary(fit)
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