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R-lmtest-0.9.34-2.lbn19.x86_64
A collection of tests, data sets and examples for diagnostic checking in
linear regression models in R.
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R-mAr-1.1.2-11.lbn19.x86_64
R package:
An R add-on package for estimation of multivariate AR models through a
computationally-efficient stepwise least-squares algorithm (Neumaier
and Schneider, 2001); the procedure is of particular interest for
high-dimensional data without missing values such as geophysical
fields.
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R-maanova-1.34.1-4.lbn19.x86_64
Analysis of N-dye Micro Array experiment using mixed model effect
Containing analysis of variance, permutation and bootstrap, cluster
and consensus tree
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R-magrittr-1.5-1.lbn19.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-0.2.1-3.lbn19.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-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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