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R-preprocessCore-1.54.0-3.fc36.x86_64
A library of core preprocessing routines
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BastionLinux 36
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R-processx-2.0.0.1-1.lbn25.x86_64
Portable tools to run system processes in the background. It can check if
a background process is running; wait on a background process to finish;
get the exit status of finished processes; kill background processes and
their children; restart processes. It can read the standard output and
error of the processes, using non-blocking connections. 'processx' can
poll a process for standard output or error, with a timeout. It can also
poll several processes at once.
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BastionLinux 25
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R-processx-3.5.2-3.fc36~bootstrap.x86_64
Tools to run system processes in the background. It can check if a
background process is running; wait on a background process to finish; get
the exit status of finished processes; kill background processes. It can
read the standard output and error of the processes, using non-blocking
connections. 'processx' can poll a process for standard output or error,
with a timeout. It can also poll several processes at once.
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BastionLinux 36
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R-promises-1.0.1-1.lbn25.x86_64
Provides fundamental abstractions for doing asynchronous programming in R using
promises. Asynchronous programming is useful for allowing a single R process to
orchestrate multiple tasks in the background while also attending to something
else. Semantics are similar to 'JavaScript' promises, but with a syntax that is
idiomatic R.
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BastionLinux 25
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R-promises-1.2.0.1-3.fc36~bootstrap.x86_64
Provides fundamental abstractions for doing asynchronous programming in R using
promises. Asynchronous programming is useful for allowing a single R process to
orchestrate multiple tasks in the background while also attending to something
else. Semantics are similar to 'JavaScript' promises, but with a syntax that is
idiomatic R.
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BastionLinux 36
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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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BastionLinux 19
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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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BastionLinux 25
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R-qcc-2.7-7.fc36.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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BastionLinux 36
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R-qtl-1.39.5-1.lbn19.x86_64
R-qtl is an extensible, interactive environment for mapping
quantitative trait loci (QTLs) in experimental crosses. Our goal is to
make complex QTL mapping methods widely accessible and allow users to
focus on modeling rather than computing.
A key component of computational methods for QTL mapping is the hidden
Markov model (HMM) technology for dealing with missing genotype
data. We have implemented the main HMM algorithms, with allowance for
the presence of genotyping errors, for backcrosses, intercrosses, and
phase-known four-way crosses.
The current version of R-qtl includes facilities for estimating
genetic maps, identifying genotyping errors, and performing single-QTL
genome scans and two-QTL, two-dimensional genome scans, by interval
mapping (with the EM algorithm), Haley-Knott regression, and multiple
imputation. All of this may be done in the presence of covariates
(such as sex, age or treatment). One may also fit higher-order QTL
models by multiple imputation and Haley-Knott regression.
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BastionLinux 19
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R-qtl-1.41.6-4.lbn25.x86_64
R-qtl is an extensible, interactive environment for mapping
quantitative trait loci (QTLs) in experimental crosses. Our goal is to
make complex QTL mapping methods widely accessible and allow users to
focus on modeling rather than computing.
A key component of computational methods for QTL mapping is the hidden
Markov model (HMM) technology for dealing with missing genotype
data. We have implemented the main HMM algorithms, with allowance for
the presence of genotyping errors, for backcrosses, intercrosses, and
phase-known four-way crosses.
The current version of R-qtl includes facilities for estimating
genetic maps, identifying genotyping errors, and performing single-QTL
genome scans and two-QTL, two-dimensional genome scans, by interval
mapping (with the EM algorithm), Haley-Knott regression, and multiple
imputation. All of this may be done in the presence of covariates
(such as sex, age or treatment). One may also fit higher-order QTL
models by multiple imputation and Haley-Knott regression.
Located in
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BastionLinux 25
