-
R-poLCA-1.4.1-14.fc36.x86_64
Latent class analysis and latent class regression models for polytomous
outcome variables. Also known as latent structure analysis.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-polyclip-1.10.0-10.fc36.x86_64
R port of Angus Johnson's open source library Clipper. Performs polygon
clipping operations (intersection, union, set minus, set difference) for
polygonal regions of arbitrary complexity, including holes. Computes
offset polygons (spatial buffer zones, morphological dilations, Minkowski
dilations) for polygonal regions and polygonal lines. Computes Minkowski
Sum of general polygons. There is a function for removing
self-intersections from polygon data.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-polynom-1.4.0-10.fc36.noarch
A collection of functions to implement a class for univariate polynomial
manipulations.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-praise-1.0.0-18.fc36.noarch
Build friendly R packages that praise their users if they have done something
good, or they just need it to feel better.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-preprocessCore-1.54.0-3.fc36.x86_64
A library of core preprocessing routines
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
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.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
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.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
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
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-qtl-1.52-1.fc36.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
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-qvalue-2.24.0-3.fc36.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.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
