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R-magrittr-1.5-2.lbn25.noarch
Provides a mechanism for chaining commands with a new forward-pipe operator.
This operator will forward a value, or the result of an expression, into
the next function call/expression. There is flexible support for the type of
right-hand side expressions. For more information, see package vignette. To
quote Rene Magritte, "Ceci n'est pas un pipe."
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R-memoise-0.2.1-5.lbn25.noarch
Cache the results of a function so that when you call it again with the same
arguments it returns the pre-computed value.
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R-multcomp-1.4.5-4.lbn25.noarch
This R package contains functions for simultaneous tests and confidence
intervals for general linear hypotheses in parametric models, including
linear, generalized linear, linear mixed effects, and survival models.
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R-nws-1.7.0.1-13.lbn25.noarch
Provides coordination and parallel execution facilities, as well as limited
cross-language data exchange, using the netWorkSpaces server developed by
REvolution Computing.
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R-plogr-0.1.1-2.lbn25.noarch
A simple header-only logging library for C++. Add 'LinkingTo: plogr' to
'DESCRIPTION', and '#include <plogr.h>' in your C++ modules to use it.
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R-plogr-devel-0.1.1-2.lbn25.noarch
Development files for R-plogr.
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R-pls-2.4.3-7.lbn25.noarch
Multivariate regression by partial least squares regression (PLSR)
and principal component regression (PCR)
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R-praise-1.0.0-5.lbn25.noarch
Build friendly R packages that praise their users if they have done something
good, or they just need it to feel better.
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R-qcc-2.2-12.lbn25.noarch
An R package for quality control charting and statistical process control.
The qcc package for the R statistical environment provides:
- Plot Shewhart quality control charts
- Plot Cusum and EMWA charts for continuous data
- Draw operating characteristic curves
- Perform process capability analysis
- Draw Pareto charts and cause-and-effect diagrams
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R-qvalue-1.38.0-5.lbn25.noarch
It takes a list of p-values resulting from the simultaneous
testing of many hypotheses and estimates their q-values.
The q-value of a test measures the proportion of false positives
incurred (called the false discovery rate) when that particular
test is called significant. Various plots are automatically
generated, allowing one to make sensible significance cut-offs.
Several mathematical results have recently been shown on the
conservative accuracy of the estimated q-values from this software.
The software can be applied to problems in genomics, brain imaging,
astrophysics, and data mining.
This package is a part of the Bioconductor (bioconductor.org) project.
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