close

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 dependents

satijalab

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 dependents

ixpantia

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 scripts

terminological

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 scripts

feddelegrand7

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.

javascriptshiny

1.0 match 21 stars 5.02 score 8 scripts

bioc

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 11 days ago.

clusteringclassificationcpp

0.5 match 10.14 score 646 scripts 89 dependents

bavodc

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 scripts

cran

expandFunctions:Feature Matrix Builder

Generates feature matrix outputs from R object inputs using a variety of expansion functions. The generated feature matrices have applications as inputs for a variety of machine learning algorithms. The expansion functions are based on coercing the input to a matrix, treating the columns as features and converting individual columns or combinations into blocks of columns. Currently these include expansion of columns by efficient sparse embedding by vectors of lags, quadratic expansion into squares and unique products, powers by vectors of degree, vectors of orthogonal polynomials functions, and block random affine projection transformations (RAPTs). The transformations are magrittr- and cbind-friendly, and can be used in a building block fashion. For instance, taking the cos() of the output of the RAPT transformation generates a stationary kernel expansion via Bochner's theorem, and this expansion can then be cbind-ed with other features. Additionally, there are utilities for replacing features, removing rows with NAs, creating matrix samples of a given distribution, a simple wrapper for LASSO with CV, a Freeman-Tukey transform, generalizations of the outer function, matrix size-preserving discrete difference by row, plotting, etc.

Maintained by Scott Miller. Last updated 8 years ago.

1.8 match 1.70 score

dcgerard

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 scripts

helske

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 scripts

corradolanera

depigner:A Utility Package to Help you Deal with "Pignas"

Pigna [_pìn'n'a_] is the Italian word for pine cone. In jargon, it is used to identify a task which is boring, banal, annoying, painful, frustrating and maybe even with a not so beautiful or rewarding result, just like the obstinate act of trying to challenge yourself in extracting pine nuts from a pine cone, provided that, in the end, you will find at least one inside it. Here you can find a backpack of functions to be used to solve small everyday problems of coding or analyzing (clinical) data, which would be normally solved using quick-and-dirty patches. You will be able to convert 'Hmisc' and 'rms' summary()es into data.frames ready to be rendered by 'pander' and 'knitr'. You can access easy-to-use wrappers to activate essential but useful progress bars (from 'progress') into your loops or functionals. Easy setup and control Telegram's bots (from 'telegram.bot') to send messages or to divert error messages to a Telegram's chat. You also have some utilities helping you in the development of packages, like the activation of the same user interface of 'usethis' into your package, or call polite functions to ask a user to install other packages. Finally, you find a set of thematic sets of packages you may use to set up new environments quickly, installing them in a single call.

Maintained by Corrado Lanera. Last updated 2 years ago.

hmiscpignermstelegram

0.5 match 3 stars 4.14 score 93 scripts

grantmcdermott

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

terminological

roogledocs:R Wrapper For Googledocs Java Library

Programmatically substitute images, data and tables into a google doc or presentation. R library to perform limited interactions with google docs and slides in R via the Java API library. The purpose being to support google docs as a platform for interactive development and documentation of data analysis in R for scientific publication, although it is not limited to this purpose. The workflow supported is a parallel documentation and analysis where a team of people are working collaboratively on documentation, whilst at the same time analysis is being performed and results updated repeatedly as a result of new data. In this environment updating numeric results, tabular data and figures in word documents manually becomes annoying. With roogledocs you can automate this a bit like a RMarkdown document, but with the added benefit that the content can be updated independently of the analysis, by the wider team.

Maintained by Rob Challen. Last updated 11 months ago.

openjdk

0.5 match 4 stars 3.78 score 1 scripts

: