kendonb Goto Github PK
Name: Kendon Bell
Type: User
Company: Scarlatti
Location: Auckland, NZ
Kendon Bell's Projects
adv-r
Advanced R programming: a book
aenea
Client-server library for using voice macros from Dragon NaturallySpeaking and Dragonfly on remote/non-windows hosts.
animation
A gallery of animations in statistics and utilities to create animations
are212
base
Official repository for building R on Windows
bellmisc
My collection of utility files for personal use
cast
Caret Applications for Spatio-Temporal models
caster
Natlink/Dragonfly-Based Voice Programming Toolkit
cfr_calculation
cleangeo
Cleaning geometries from spatial objects in R
clifro
Easily download and visualise climate data from CliFlo
clustermq
R package to send function calls as jobs on LSF, SGE, Slurm, PBS/Torque, or each via SSH
core
Bountysource is the funding platform for open-source software.
data.table
R's data.table package extends data.frame. HOMEPAGE:
degreedays
devtools
Tools to make an R developer's life easier
dictation-toolbox.org
Information repository for all things keyboardless
digest
R package to create compact hash digests of R objects
docker-ubuntu-unity-novnc
Dockfile for Ubuntu with Unity desktop environment and noVNC.
dot_caster
my caster user files DEPRECATED
downloader
R package for downloading files with https
dplyr
dplyr: A grammar of data manipulation
dplyrextras
Some extra functionality that is not (yet) in dplyr, e.g. mutate_if or s_filter, s_arrange ,...
dragonfly
Speech recognition framework allowing powerful Python-based scripting and extension of Dragon NaturallySpeaking (DNS) and Windows Speech Recognition (WSR)
drake
A scalable solution for reproducibility and high-performance computing
drake-manual
The user manual for the drake R package
faostatpackage
The full FAOSTAT package including build
fastdigest
R package for using Bob Jenkin's streaming SpookyHash algorithm in-place within R's serialization machinery. Generates 128bit digests of R objects without creation of full serialized copies.
fasterize
High performance raster conversion for modern spatial data 🚀🌏▦
fund
FUND - Climate Framework for Uncertainty, Negotiation and Distribution
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