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R-msm-1.3-5.lbn19.x86_64
Functions for fitting general continuous-time Markov and hidden Markov
multi-state models to longitudinal data. Both Markov transition rates
and the hidden Markov output process can be modeled in terms of
covariates. A variety of observation schemes are supported, including
processes observed at arbitrary times, completely-observed processes,
and censored states.
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R-multcomp-1.4.5-2.lbn19.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-multtest-2.20.0-4.lbn19.x86_64
Non-parametric bootstrap and permutation resampling-based multiple testing
procedures for controlling the family-wise error rate (FWER), generalized
family-wise error rate (gFWER), tail probability of the proportion of
false positives (TPPFP), and false discovery rate (FDR). Single-step and
step-wise methods are implemented. Tests based on a variety of t- and
F-statistics (including t-statistics based on regression parameters from
linear and survival models) are included. Results are reported in terms
of adjusted p-values, confindence regions and test statistic cutoffs.
The procedures are directly applicable to identifying differentially
expressed genes in DNA microarray experiments.
This Library is a part of the Bioconductor (bioconductor.org) proejct.
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R-mvtnorm-1.0.3-2.lbn19.x86_64
This R package computes multivariate normal and t probabilities, quantiles
and densities.
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R-nws-1.7.0.1-11.lbn19.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-pbdZMQ-0.2.3-1.lbn19.x86_64
'ZeroMQ' is a well-known library for high-performance asynchronous messaging in scalable,
distributed applications. This package provides high level R wrapper functions to easily
utilize 'ZeroMQ'. We mainly focus on interactive client/server programming frameworks. For
convenience, a minimal 'ZeroMQ' library (4.1.0 rc1) is shipped with 'pbdZMQ', which can be
used if no system installation of 'ZeroMQ' is available. A few wrapper functions
compatible with 'rzmq' are also provided.
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R-pls-2.4.3-5.lbn19.noarch
Multivariate regression by partial least squares regression (PLSR)
and principal component regression (PCR)
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R-praise-1.0.0-3.lbn19.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-preprocessCore-1.26.1-4.lbn19.x86_64
A library of core preprocessing routines
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R-qcc-2.2-10.lbn19.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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