Showing 13 of total 13 results (show query)
eddelbuettel
RcppAnnoy:'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest Neighbors
'Annoy' is a small C++ library for Approximate Nearest Neighbors written for efficient memory usage as well an ability to load from / save to disk. This package provides an R interface by relying on the 'Rcpp' package, exposing the same interface as the original Python wrapper to 'Annoy'. See <https://github.com/spotify/annoy> for more on 'Annoy'. 'Annoy' is released under Version 2.0 of the Apache License. Also included is a small Windows port of 'mmap' which is released under the MIT license.
Maintained by Dirk Eddelbuettel. Last updated 8 days ago.
annoynearestnearest-neighborscpp
25.3 match 72 stars 11.97 score 57 scripts 147 dependentssatijalab
Seurat:Tools for Single Cell Genomics
A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Maintained by Paul Hoffman. Last updated 1 years ago.
human-cell-atlassingle-cell-genomicssingle-cell-rna-seqcpp
3.9 match 2.4k stars 16.86 score 50k scripts 73 dependentsixpantia
lacrmr:Connect to the 'Less Annoying CRM' API
Connect to the 'Less Annoying CRM' API with ease to get your crm data in a clean and tidy format. 'Less Annoying CRM' is a simple CRM built for small businesses, more information is available on their website <https://www.lessannoyingcrm.com/>.
Maintained by Frans van Dunné. Last updated 1 years ago.
crmhacktoberfestless-annoying-crm
10.5 match 2 stars 4.48 score 4 scriptsterminological
ggrrr:Addressing Annoyances and Irritations
Visualisation hacks, tabular data helpers, fonts, caching, tidy data functions. It is an swiss army knife, jack of all trades.
Maintained by Robert Challen. Last updated 9 months ago.
3.3 match 1 stars 2.74 score 11 scriptsfeddelegrand7
scrollrevealR:Animate 'shiny' Elements when They Scroll into View using the 'scrollrevealjs' Library
Allows the user to animate 'shiny' elements when scrolling to view them. The animations are activated using the 'scrollrevealjs' library. See <https://scrollrevealjs.org/> for more information.
Maintained by Mohamed El Fodil Ihaddaden. Last updated 4 years ago.
1.0 match 21 stars 5.02 score 8 scriptsbioc
BiocNeighbors:Nearest Neighbor Detection for Bioconductor Packages
Implements exact and approximate methods for nearest neighbor detection, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Exact searches can be performed using the k-means for k-nearest neighbors algorithm or with vantage point trees. Approximate searches can be performed using the Annoy or HNSW libraries. Searching on either Euclidean or Manhattan distances is supported. Parallelization is achieved for all methods by using BiocParallel. Functions are also provided to search for all neighbors within a given distance.
Maintained by Aaron Lun. Last updated 12 days ago.
0.5 match 10.14 score 646 scripts 89 dependentsbavodc
CalibrationCurves:Calibration Performance
Plots calibration curves and computes statistics for assessing calibration performance. See De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
Maintained by De Cock Bavo. Last updated 2 months ago.
1.1 match 4.03 score 53 scriptsdcgerard
seqgendiff:RNA-Seq Generation/Modification for Simulation
Generates/modifies RNA-seq data for use in simulations. We provide a suite of functions that will add a known amount of signal to a real RNA-seq dataset. The advantage of using this approach over simulating under a theoretical distribution is that common/annoying aspects of the data are more preserved, giving a more realistic evaluation of your method. The main functions are select_counts(), thin_diff(), thin_lib(), thin_gene(), thin_2group(), thin_all(), and effective_cor(). See Gerard (2020) <doi:10.1186/s12859-020-3450-9> for details on the implemented methods.
Maintained by David Gerard. Last updated 10 months ago.
0.5 match 10 stars 5.86 score 72 scriptshelske
changer:Change R Package Name
Changing the name of an existing R package is annoying but common task especially in the early stages of package development. This package (mostly) automates this task.
Maintained by Jouni Helske. Last updated 3 years ago.
0.5 match 49 stars 4.39 score 2 scriptsgrantmcdermott
lecturenotes:My lecture notes Rmd template
Template for exporting to both HTML and PDF formats. Takes care of various annoyances like missing affiliation headings for PDF, handling of non-standard fonts, correct parsing of interactive content depending on the output format, etc.
Maintained by Grant McDermott. Last updated 3 years ago.
0.5 match 124 stars 3.79 score