Like intECDF
, except returns a function
\bar I instead of a value. The function \bar I(l,r) is given
by
\bar{I}(l,r) = \int_{l}^{r} \bar{F}(u) du
where \bar F is the empirical distribution function of x_1,…,x_m. Note that l and r must lie in [x_1,x_m].
For an exact formula related to \bar{I}, see intECDF
.
1  intECDFfn(x)

x 
Vector x = (x_1, …, x_m) of original observations, which are used to define the empirical CDF, \bar{F}. 
The function \bar I.
Duembgen, L, Huesler, A. and Rufibach, K. (2010) Active set and EM algorithms for logconcave densities based on complete and censored data. Technical report 61, IMSV, Univ. of Bern, available at http://arxiv.org/abs/0707.4643.
Duembgen, L. and Rufibach, K. (2009) Maximum likelihood estimation of a logconcave density and its distribution function: basic properties and uniform consistency. Bernoulli, 15(1), 40–68.
Duembgen, L. and Rufibach, K. (2011) logcondens: Computations Related to Univariate LogConcave Density Estimation. Journal of Statistical Software, 39(6), 1–28. http://www.jstatsoft.org/v39/i06
Doss, C. R. (2013). ShapeConstrained Inference for ConcaveTransformed Densities and their Modes. PhD thesis, Department of Statistics, University of Washington, in preparation.
Doss, C. R. and Wellner, J. A. (2013). Inference for the mode of a logconcave density. Technical Report, University of Washington, in preparation.
See intECDF
which returns values instead of a function.
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