Computes confidence intervals for the rate (or risk)
difference ('RD') or rate ratio (or relative risk, 'RR') for
binomial proportions or Poisson rates, or for odds ratio
('OR', binomial only). Also confidence intervals for a single
binomial or Poisson rate, and intervals for matched pairs.
Includes skewness-corrected asymptotic score ('SCAS') methods,
which have been developed in Laud (2017) <doi:10.1002/pst.1813>
from Miettinen & Nurminen (1985) <doi:10.1002/sim.4780040211> and
Gart & Nam (1988) <doi:10.2307/2531848>. The same score produces
hypothesis tests analogous to the test for binomial RD and RR by
Farrington & Manning (1990) <doi:10.1002/sim.4780091208>.
The package also includes MOVER methods
(Method Of Variance Estimates Recovery) for all contrasts, derived
from the Newcombe method but using equal-tailed Jeffreys intervals,
and generalised for Bayesian applications incorporating prior
information. So-called 'exact' methods for strictly conservative
coverage are approximated using continuity corrections.
Also includes methods for stratified calculations (e.g. meta-analysis),
either assuming fixed effects (matching the CMH test) or incorporating
stratum heterogeneity.

This package provides several functions to
manipulate rational functions, including basic
arithmetic operators, derivatives and integrals with
EXPLICIT forms.

Functions to manipulate rational functions, including basic
arithmetic operators, derivatives, and integrals with EXPLICIT forms.

Ratios Between Two Data Sets and Correction for Adhering
Particles on Plants
Solveig Pospiech [aut, cre],
Wiebke Fahlbusch [ctb]
Calculation of ratios between two data sets containing environmental data like
element concentrations by different methods. Additionally plant element
concentrations can be corrected for adhering particles (soil, airborne dust).

Calculating Ratios Between Two Data Sets and Correction for
Adhering Particles on Plants

Graphical user interface for data mining in R
c(person("Graham", "Williams", role=c("aut", "cph", "cre"),
email="Graham.Williams@togaware.com"), person("Mark", "Vere
Culp", role="cph"), person("Ed", "Cox", role="ctb"),
person("Anthony", "Nolan", role="ctb"), person("Denis",
"White", role="cph"), person("Daniele", "Medri", role="ctb"))
RGtk2, pmml (>= 1.2.13), bitops, colorspace, ada, amap,
arules, arulesViz, biclust, cairoDevice, cba, Deducer, descr,
doBy, e1071, ellipse, fBasics, foreign, fpc, gdata, ggplot2,
gplots, graph, grid, gtools, gWidgetsRGtk2, hmeasure, Hmisc,
kernlab, latticist, Matrix, methods, mice, network, nnet,
odfWeave, party, playwith, psych, randomForest, RBGL,
RColorBrewer, reshape, rggobi, RGtk2Extras, ROCR, RODBC, rpart,
rpart.plot, survival, timeDate, verification, weightedKmeans,
XML, pkgDepTools, Rgraphviz
Rattle (the R Analytic Tool To Learn Easily) provides a
Gnome (RGtk2) based interface to R functionality for data
mining.  The aim is to provide a simple and intuitive interface
that allows a user to quickly load data from a CSV file (or via
ODBC), transform and explore the data, build and evaluate
models, and export models as PMML (predictive modelling markup
language) or as scores. All of this with knowing little about
R. All R commands are logged and commented through the log tab.
Thus they are available to the user as a script file or as an
aide for the user to learn R or to copy-and-paste directly into
R itself.  Rattle also exports a number of utility functions
and the graphical user interface, invoked as rattle(), does not
need to be run to deploy these.
Graham Williams [aut, cph, cre], Mark Vere Culp [cph], Ed Cox
[ctb], Anthony Nolan [ctb], Denis White [cph], Daniele Medri
[ctb]