Packaged: 2009-09-29 21:01:23 UTC; Bob Wheeler

Packaged: 2009-12-10 15:17:00 UTC; Bob Wheeler

X-CRAN-Comment: Orphaned on 2013-03-22: the maintainer is unresponsive.

moment correlation coefficient, Johnson distributions, normal

Authors@R: c(person(given = "Bob", family = "Wheeler",
person(given = "Thorsten", family = "Pohlert",
scores and generalized hypergeometric distributions.
Thorsten Pohlert [ctb, cre] (<https://orcid.org/0000-0003-3855-3025>)

Title: Surface Reconstruction Using the 'CGAL' C++ Library
Description: Provides some 3d surface reconstruction algorithms: Poisson
surface reconstruction and advanced front surface reconstruction. They
generate a mesh from a given point cloud. The mesh can be plotted with

Title: Find Optimal Sampling Locations Based on Spatial Covariate(s)
Author: Kristin Piikki & Mats Soderstrom
Description: Create sampling designs using the surface reconstruction algorithm.
Original method by: Olsson, D. 2002. A method to optimize soil sampling from
ancillary data. Poster presenterad at: NJF seminar no. 336,
Implementation of Precision Farming in Practical Agriculture, 10-12
Imports: raster, gstat, rgeos, sp, gtools, rgdal, utils, grDevices

Author: Kristin Piikki & Mats Söderström

Author: Kristin Piikki, Mats Söderström & John Mutua

Title: Evaluation of surrogate endpoints in clinical trials
Author: Wim Van der Elst, Ariel Alonso & Geert Molenbergs
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a biomarker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks (for normally distributed endpoints).