dcdf.size.prop: Deconvoluted Size-Weighted Cumulative Distribution Function...
In mhweber/spsurvey: Spatial Survey Design and Analysis

Description Usage Arguments Value Author(s)

This function calculates an estimate of the size-weighted, deconvoluted cumulative distribution function (CDF) for the proportion of a discrete 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 size-weighted total of the resource equal to or less than a specified value. The denominator of the ratio estimates the sum of the size-weights for the resource. The function can accomodate single-stage and two-stage samples.

1	dcdf.size.prop(g, wgt, cluster.ind, cluster, wgt1, swgt, swgt1)

`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.
`swgt`	Vector of the size-weight for each site, which is the stage two size-weight for a two-stage sample.
`swgt1`	Vector of the stage one size-weight for each site.