warna: warna

GITHUB

ilyamaclean/climvars: Functions for calculating biologically meaningful climate variables

R: warna
warnaR Documentation
warna

tower: Create a tower of functions.

GITHUB

syberia/director: Load, track, and manage dependencies in a file structure.

R: Create a tower of functions.
towerR Documentation
Create a tower of functions.

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

cats: cats

GITHUB

BillVenables/WWRData: Data Sets for Working with R Workshops

R: cats
catsR Documentation
cats

cat: cat

CRAN

afCEC: Active Function Cross-Entropy Clustering

R: cat
catR Documentation
cat

Cat: Cat

GITHUB

henry090/fastai: Interface to 'fastai'

R: Cat
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

Cat: Cat

CRAN

fastai: Interface to 'fastai'

R: Cat
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

cats: cats.

GITHUB

hilaryparker/cats: Cats

R: cats.
catsR Documentation
cats.

Cat: Cat

GITHUB

EagerAI/fastai: Interface to 'fastai'

R: Cat
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

RAB: real adaboost (Friedman et al

GITHUB

lgatto/MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)

Cats: Dataset with Cats

GITHUB

oeysan/bfw: Bayesian Framework for Computational Modeling

R: Dataset with Cats
CatsR Documentation
Dataset with Cats

RAB: Compute the relative absolute bias of multiple estimators

CRAN

SimDesign: Structure for Organizing Monte Carlo Simulation Designs

estimators.
Usage
RAB(x, percent = FALSE, unname = FALSE)

RAB: real adaboost (Friedman et al

BIOC

MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

CRAN

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

tower: Easy Middle Ware Library for 'shiny

CRAN

tower: Easy Middle Ware Library for 'shiny'

Package: tower
Title: Easy Middle Ware Library for 'shiny'
Version: 0.2.0

Cat: Cat Distribution

CRAN

joker: Probability Distributions and Parameter Estimation

R: Cat Distribution
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Cat: Cat Module.

GITHUB

m-l-1/tmPack: Just an example of how to package {tm} modules

R: Cat Module.
CatR Documentation
Cat Module.

cats: Cat names

GITHUB

jalapic/qwerty: does stuff

R: Cat names
catsR Documentation
Cat names

cats: Cat names

GITHUB

whipplek/testclassfinal: Cat Names

R: Cat names
catsR Documentation
Cat names