Packaged: Fri Apr  8 12:40:48 2005; hornik

Package: conf.design
Version: 0.0.1
Date: 5/09/2000
Title: Construction of factorial designs
Author:  Bill Venables <venables@stats.adelaide.edu.au>
Description: This small library contains a series of simple tools for
constructing and manipulating confounded and fractional
factorial designs. To some extent these complement those
already available in S-PLUS 3.1 and 3.2, (but they
may well be rendered obsolete by S+DOX, to which the author
does not yet have access).
License: This software may be re-distributed freely and used for
any non-commercial purpose.

Title: Confidence Estimators for Individual Regression Predictions
Description: This package contains various functions to estimate the
confidences of individual predictions made with regression
prediction. In addtion, regression algorithms and a simple

Title: Estimates and Bounds for the False Discovery Proportion, by
Computes estimates and confidence bounds for the
False Discovery Proportion (FDP), the fraction of false positives among
The methods in the package use permutations of the data. Doing so, they
take into account the dependence structure in the data.
Packaged: 2017-01-18 12:15:41 UTC; jbahemerik

Suggests: penalized, survival, knitr, markdown

Title: Confidence Estimation of Environmental State Classifications
Description: Functions for estimating and reporting multiyear averages and corresponding confidence intervals and distributions. A potential use case is reporting the chemical and ecological status of surface waters according to the European Water Framework Directive.
Authors@R: c(person(given = c("Willem", "M.", "G.", "M."), family = "van Loon",
email = "willem.van.loon@rws.nl", role = c("aut", "cph")),
person(given = c("Dennis", "J.", "J."), family = "Walvoort",
email = "dennis.Walvoort@wur.nl", role = c("aut", "cre")))
Imports: knitr, markdown, plyr, xtable, ggplot2
Author: Willem M. G. M. van Loon [aut, cph],
Maintainer: Dennis J. J. Walvoort <dennis.Walvoort@wur.nl>

Description: Functions for estimating and reporting multiyear averages and
corresponding confidence intervals and distributions. A potential use case
is reporting the chemical and ecological status of surface waters according
to the European Water Framework Directive.