k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-tfisher (0.2.0-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=TFisher
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-sn, r-cran-mvtnorm, r-cran-matrix
Description:  GNU R optimal thresholding fisher's P-value combination method This GNU R package provides the cumulative distribution function (CDF), quantile, and statistical power calculator for a collection of thresholding Fisher's p-value combination methods, including Fisher's p-value combination method, truncated product method and, in particular, soft-thresholding Fisher's p-value combination method which is proven to be optimal in some context of signal detection. The p-value calculator for the omnibus version of these tests are also included. For reference, please see Hong Zhang and Zheyang Wu. "TFisher Tests: Optimal and Adaptive Thresholding for Combining p-Values", submitted.
Package: r-cran-tfmpvalue (0.0.8-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=TFMPvalue
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rcpp (>= 0.11.1), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R P-Value Computation for Position Weight Matrices In putative Transcription Factor Binding Sites (TFBSs) identification from sequence/alignments, it is interesting to obtain the significance of certain match score. TFMPvalue provides the accurate calculation of P-value with score threshold for Position Weight Matrices, or the score with given P-value. This package is an interface to code originally made available by Helene Touzet and Jean-Stephane Varre, 2007, Algorithms Mol Biol:2, 15.
Package: r-cran-tgp (2.4-17-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tgp
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-maptree, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Description:  GNU R Bayesian treed Gaussian process models Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes (GPs) with jumps to the limiting linear model (LLM). Special cases also implemented include Bayesian linear models, CART, treed linear models, stationary separable and isotropic GPs, and GP single-index models.  Provides 1-d and 2-d plotting functions (with projection and slice capabilities) and tree drawing, designed for visualization of tgp-class output.  Sensitivity analysis and multi-resolution models are supported. Sequential experimental design and adaptive sampling functions are also provided, including ALM, ALC, and expected improvement. The latter supports derivative-free optimization of noisy black-box functions.
Package: r-cran-th.data (1.1-0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=TH.data
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-survival, r-cran-mass
Description:  GNU R package for datasets by Torsten Hothorn The TH.data package contain datasets used in other packages written by Torsten Hothorn.
Package: r-cran-thematic (0.1.2.1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=thematic
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-farver, r-cran-rlang, r-cran-scales, r-cran-rstudioapi (>= 0.8), r-cran-rappdirs, r-cran-ggplot2 (>= 3.3.0)
Description:  unified and automatic theming for GNU R This package provides unified and automatic 'Theming' of 'ggplot2', 'lattice', and 'base' R Graphics Theme 'ggplot2', 'lattice', and 'base' graphics based on a few choices, including foreground color, background color, accent color, and font family. Fonts that aren't available on the system, but are available via download on 'Google Fonts', can be automatically downloaded, cached, and registered for use with the 'showtext' and 'ragg' packages.
Package: r-cran-themis (0.1.4-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=themis
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-recipes (>= 0.1.15), r-cran-dplyr, r-cran-generics (>= 0.1.0), r-cran-purrr, r-cran-rann, r-cran-rlang, r-cran-rose, r-cran-tibble, r-cran-unbalanced, r-cran-withr
Description:  GNU R extra recipes steps for dealing with unbalanced data A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <arXiv:1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the number of majority cases using NearMiss 2003 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.
Package: r-cran-threejs (0.3.3+dfsg-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=threejs
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-igraph (>= 1.0.0), r-cran-htmlwidgets (>= 0.3.2), r-cran-base64enc, r-cran-crosstalk
Description:  GNU R interactive 3D scatter plots, networks and globes This package provides a GNU R interface the 'three.js' visualization library to create interactive 3D scatter plots, network plots. See https://threejs.org.
Package: r-cran-tibble (3.1.6+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tibble
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-ellipsis (>= 0.3.2), r-cran-fansi (>= 0.4.0), r-cran-lifecycle (>= 1.0.0), r-cran-magrittr, r-cran-pillar (>= 1.6.2), r-cran-pkgconfig, r-cran-rlang (>= 0.4.3), r-cran-vctrs (>= 0.3.8), libc6 (>= 2.14)
Description:  GNU R Simple Data Frames This GNU R package provides a 'tbl_df' class that offers better checking and printing capabilities than traditional data frames. . Tibbles are a modern take on data frames. They keep the features that have stood the test of time, and drop the features that used to be convenient but are now frustrating (i.e. converting character vectors to factors).
Package: r-cran-tidygraph (1.2.0-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tidygraph
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-tibble, r-cran-dplyr (>= 0.8.5), r-cran-igraph, r-cran-magrittr, r-cran-rlang, r-cran-r6, r-cran-rcpp, r-cran-tidyr, r-cran-pillar, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R tidy API for graph manipulation A graph, while not "tidy" in itself, can be thought of as two tidy data frames describing node and edge data respectively. 'tidygraph' provides an approach to manipulate these two virtual data frames using the API defined in the 'dplyr' package, as well as provides tidy interfaces to a lot of common graph algorithms.
Package: r-cran-tidyr (1.2.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tidyr
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-dplyr (>= 1.0.0), r-cran-ellipsis (>= 0.1.0), r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble (>= 2.1.1), r-cran-tidyselect (>= 1.1.0), r-cran-vctrs (>= 0.3.7), r-cran-cpp11 (>= 0.4.0), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R package to easily tidy data GNU R package to easily tidy data with 'spread()' and 'gather()' functions. . An evolution of 'reshape2'. It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines.
Package: r-cran-tidyselect (1.1.2+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tidyselect
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-ellipsis, r-cran-glue (>= 1.3.0), r-cran-purrr (>= 0.3.2), r-cran-rlang (>= 1.0.1), r-cran-vctrs (>= 0.3.0)
Description:  GNU R select from a set of strings GNU R backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
Package: r-cran-tidytext (0.3.2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tidytext
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-dplyr, r-cran-generics, r-cran-hunspell, r-cran-janeaustenr, r-cran-lifecycle, r-cran-matrix, r-cran-purrr (>= 0.1.1), r-cran-rlang (>= 0.4.10), r-cran-stringr, r-cran-tibble, r-cran-tokenizers, r-cran-vctrs
Description:  GNU R text mining using 'dplyr', 'ggplot2', and other tidy tools Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. This package provides functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
Package: r-cran-tidyverse (1.3.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tidyverse
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-broom (>= 0.7.6), r-cran-cli (>= 2.4.0), r-cran-crayon (>= 1.4.1), r-cran-dbplyr (>= 2.1.1), r-cran-dplyr (>= 1.0.5), r-cran-dtplyr (>= 1.1.0), r-cran-forcats (>= 0.5.1), r-cran-googledrive (>= 1.0.1), r-cran-googlesheets4 (>= 0.3.0), r-cran-ggplot2 (>= 3.3.3), r-cran-haven (>= 2.3.1), r-cran-hms (>= 1.0.0), r-cran-httr (>= 1.4.2), r-cran-jsonlite (>= 1.7.2), r-cran-lubridate (>= 1.7.10), r-cran-magrittr (>= 2.0.1), r-cran-modelr (>= 0.1.8), r-cran-pillar (>= 1.6.0), r-cran-purrr (>= 0.3.4), r-cran-readr (>= 1.4.0), r-cran-readxl (>= 1.3.1), r-cran-reprex (>= 2.0.0), r-cran-rlang (>= 0.4.10), r-cran-rstudioapi (>= 0.13), r-cran-rvest (>= 1.0.0), r-cran-stringr (>= 1.4.0), r-cran-tibble (>= 3.1.0), r-cran-tidyr (>= 1.1.3), r-cran-xml2 (>= 1.3.2)
Description:  Easily Install and Load the 'Tidyverse' The 'tidyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'tidyverse' packages in a single step. Learn more about the 'tidyverse' at <https://tidyverse.org>.
Package: r-cran-tiff (0.1-11-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tiff
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.14), libtiff5 (>= 4.0.3)
Description:  Read and write TIFF images This package provides an easy and simple way to read, write and display bitmap images stored in the TIFF format. It can read and write both files and in-memory raw vectors.
Package: r-cran-tigger (1.0.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tigger
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-ggplot2 (>= 3.2.0), r-cran-alakazam (>= 1.0.0), r-cran-shazam (>= 1.0.0), r-cran-dplyr (>= 0.8.1), r-cran-doparallel, r-cran-foreach, r-cran-gridextra, r-cran-gtools, r-cran-iterators, r-cran-lazyeval, r-cran-rlang, r-cran-stringi, r-cran-tidyr (>= 0.1.0)
Description:  Infers new Immunoglobulin alleles from Rep-Seq Data Summary: Infers the V genotype of an individual from immunoglobulin (Ig) repertoire-sequencing (Rep-Seq) data, including detection of any novel alleles. This information is then used to correct existing V allele calls from among the sample sequences. . High-throughput sequencing of B cell immunoglobulin receptors is providing unprecedented insight into adaptive immunity. A key step in analyzing these data involves assignment of the germline V, D and J gene segment alleles that comprise each immunoglobulin sequence by matching them against a database of known V(D)J alleles. However, this process will fail for sequences that utilize previously undetected alleles, whose frequency in the population is unclear. . TIgGER is a computational method that significantly improves V(D)J allele assignments by first determining the complete set of gene segments carried by an individual (including novel alleles) from V(D)J-rearrange sequences. TIgGER can then infer a subject’s genotype from these sequences, and use this genotype to correct the initial V(D)J allele assignments. . The application of TIgGER continues to identify a surprisingly high frequency of novel alleles in humans, highlighting the critical need for this approach. TIgGER, however, can and has been used with data from other species. . Core Abilities:  * Detecting novel alleles  * Inferring a subject’s genotype  * Correcting preliminary allele calls . Required Input  * A table of sequences from a single individual, with columns containing    the following:    -   V(D)J-rearranged nucleotide sequence (in IMGT-gapped format)    -   Preliminary V allele calls    -   Preliminary J allele calls    -   Length of the junction region  * Germline Ig sequences in IMGT-gapped fasta format (e.g., as those    downloaded from IMGT/GENE-DB) . The former can be created through the use of IMGT/HighV-QUEST and Change-O.
Package: r-cran-tikzdevice (0.12.3.1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tikzDevice
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-filehash (>= 2.3), r-cran-png, libc6 (>= 2.14)
Description:  GNU R graphics output in LaTeX format This GNU R package provides a graphics output device for R that records plots in a LaTeX-friendly format. The device transforms plotting commands issued by R functions into LaTeX code blocks. When included in a LaTeX document, these blocks are interpreted with the help of 'TikZ'—a graphics package for TeX and friends written by Till Tantau. Using the 'tikzDevice', the text of R plots can contain LaTeX commands such as mathematical formula. The device also allows arbitrary LaTeX code to be inserted into the output stream.
Package: r-cran-timedate (3043.102-1build2)
Section: universe/math
Homepage: http://www.Rmetrics.org
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for financial engineering -- timeDate This package provides functions for chronological and calendarical objects and is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others. . timeDate provides functions for chronological and calendarical objects.
Package: r-cran-timereg (2.0.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=timereg
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-survival, r-cran-lava, r-cran-numderiv, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Description:  GNU R flexible regression models for survival data Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag.  Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.
Package: r-cran-timeseries (3062.100-2build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=timeSeries
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-timedate (>= 2150.95)
Description:  GNU R package for financial engineering -- timeSeries This package provides functions for financial time series objects and is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others. . timeDate provides functions for financial time series objects.
Package: r-cran-tinytest (1.3.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tinytest
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  Lightweight and Feature Complete Unit Testing Framework Provides a lightweight (zero-dependency) and easy to use unit testing framework. Main features: install tests with the package. Test results are treated as data that can be stored and manipulated. Test files are R scripts interspersed with test commands, that can be programmed over. Fully automated build-install-test sequence for packages. Skip tests when not run locally (e.g. on CRAN). Flexible and configurable output printing. Compare computed output with output stored with the package. Run tests in parallel. Extensible by other packages. Report side effects.
Package: r-cran-tinytex (0.37-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tinytex
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-xfun (>= 0.29)
Description:  GNU R helper to compile LaTeX documents GNU R Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.name/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Package: r-cran-tkrplot (0.0.26-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=tkrplot
Depends: libc6 (>= 2.4), libtcl8.6 (>= 8.6.0), libtk8.6 (>= 8.6.0), libx11-6, r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R embedded Tk plotting device package This CRAN package provides a Tk graphics device which enables embedding of GNU R plot() results inside a Tk widget.
Package: r-cran-tm (0.7-8-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tm
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-nlp (>= 0.2-0), r-cran-rcpp, r-cran-slam (>= 0.1-37), r-cran-xml2, r-cran-bh, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  Text Mining functionality for R A framework for text mining applications within R.
Package: r-cran-tmb (1.7.22-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=TMB
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-matrix (>= 1.4-0-1~), r-cran-rcppeigen, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), liblapack3 | liblapack.so.3, libstdc++6 (>= 11)
Description:  GNU R template model builder: general random effect tool With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Package: r-cran-tmvnsim (1.0-2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tmvnsim
Depends: libc6 (>= 2.29), r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-rlang
Description:  GNU R package for truncated multivariate normal simulation The package offers importance sampling from the truncated multivariate normal using the GHK (Geweke-Hajivassiliou-Keane) simulator.  Unlike Gibbs sampling which can get stuck in one truncation sub-region depending on initial values, this package allows truncation based on disjoint regions that are created by truncation of absolute values. The GHK algorithm uses simple Cholesky transformation followed by recursive simulation of univariate truncated normals hence there are also no convergence issues. Importance sample is returned along with sampling weights, based on which, one can calculate integrals over truncated regions for multivariate normals.
Package: r-cran-tmvtnorm (1.4-10-4)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tmvtnorm
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-mvtnorm, r-cran-matrix, r-cran-gmm, libc6 (>= 2.14), libgfortran5 (>= 10), liblapack3 | liblapack.so.3
Description:  GNU R truncated multivariate normal and student t distribution Random number generation for the truncated multivariate normal and Student t distribution. Computes probabilities, quantiles and densities, including one-dimensional and bivariate marginal densities. Computes first and second moments (i.e. mean and covariance matrix) for the double-truncated multinormal case.
Package: r-cran-tokenizers (0.2.1-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=tokenizers
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-stringi (>= 1.0.1), r-cran-rcpp (>= 0.12.3), r-cran-snowballc (>= 0.5.1), libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11)
Description:  GNU R fast, consistent tokenization of natural language text Convert natural language text into tokens. Includes tokenizers for shingled n-grams, skip n-grams, words, word stems, sentences, paragraphs, characters, shingled characters, lines, tweets, Penn Treebank, regular expressions, as well as functions for counting characters, words, and sentences, and a function for splitting longer texts into separate documents, each with the same number of words. The tokenizers have a consistent interface, and the package is built on the 'stringi' and 'Rcpp' packages for fast yet correct tokenization in 'UTF-8'.
Package: r-cran-transformr (0.1.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=transformr
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rcpp (>= 0.12.15), r-cran-tweenr, r-cran-rlang, r-cran-sf, r-cran-lpsolve, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R polygon and path transformations In order to smoothly animate the transformation of polygons and paths, many aspects needs to be taken into account, such as differing number of control points, changing center of rotation, etc. The 'transformr' package provides an extensive framework for manipulating the shapes of polygons and paths and can be seen as the spatial brother to the 'tweenr' package.
Package: r-cran-treescape (1.10.18+dfsg-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=treescape
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-ape, r-cran-ade4, r-cran-adegenet, r-cran-adegraphics, r-cran-adephylo, r-cran-combinat, r-cran-distory, r-cran-fields, r-cran-htmlwidgets, r-cran-mass, r-cran-phangorn, r-cran-rcpp, r-cran-rgl, r-cran-rlumshiny, r-cran-scatterd3, r-cran-shiny, r-cran-shinybs, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R Statistical Exploration of Landscapes of Phylogenetic Trees This GNU R package provides tools for the exploration of distributions of phylogenetic trees. This package includes a shiny interface which can be started from R using 'treescapeServer()'.
Package: r-cran-treespace (1.1.4.1+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=treespace
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-ape, r-cran-ade4, r-cran-adegenet, r-cran-adegraphics, r-cran-adephylo, r-cran-combinat, r-cran-distory, r-cran-fields, r-cran-htmlwidgets, r-cran-mass, r-cran-phangorn, r-cran-phytools, r-cran-rcpp, r-cran-rgl, r-cran-rlumshiny, r-cran-scatterd3, r-cran-shiny, r-cran-shinybs, libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 9)
Description:  Statistical Exploration of Landscapes of Phylogenetic Trees Tools for the exploration of distributions of phylogenetic trees. This package includes a shiny interface which can be started from R using 'treespaceServer()'.
Package: r-cran-triebeard (0.3.0-4)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=triebeard
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description:  GNU R radix trees in Rcpp 'Radix trees', or 'tries', are key-value data structures optimised for efficient lookups, similar in purpose to hash tables. 'triebeard' provides an implementation of 'radix trees' for use in R programming and in developing packages with 'Rcpp'.
Package: r-cran-trimcluster (0.1-5-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=trimcluster
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R cluster analysis with trimming This GNU R package provides functions for cluster analysis with trimming by trimmed k-means clustering.