dcdf.prop: Deconvoluted Cumulative Distribution Function Estimate for...
In mhweber/spsurvey: Spatial Survey Design and Analysis

Description Usage Arguments Value Author(s)

This function calculates an estimate of the deconvoluted cumulative distribution function (CDF) for the proportion of a discrete or an extensive resource. The simulation extrapolation deconvolution method (Stefanski and Bay, 1996) is use to deconvolute measurement error variance from the response. The Horvitz-Thompson ratio estimator, i.e., the ratio of two Horvitz-Thompson estimators, is used to calculate the estimate. The numerator of the ratio estimates the total of the resource equal to or less than a specified value. The denominator of the ratio estimates the size of the resource. For a discrete resource size is the number of units in the resource. For an extensive resource size is the extent (measure) of the resource, i.e., length, area, or volume. The function can accomodate single-stage and two-stage samples.

1	dcdf.prop(g, wgt, cluster.ind, cluster, wgt1)

`g`	Vector of the values of the deconvolution function g(.) evaluated at a specified value for the response value for each site.
`wgt`	Vector of the final adjusted weight (inverse of the sample inclusion probability) for each site, which is either the weight for a single-stage sample or the stage two weight for a two-stage sample.
`cluster.ind`	Logical value that indicates whether the sample is a two- stage sample, where TRUE = a two-stage sample and FALSE = not a two-stage sample.
`cluster`	Vector of the stage one sampling unit (primary sampling unit or cluster) code for each site.
`wgt1`	Vector of the final adjusted stage one weight for each site.