WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

assemblages using weighted averaging (WA) regression and calibration.
Usage
WA(y, x, mono=FALSE, tolDW = FALSE, use.N2=TRUE

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

assemblages using weighted averaging (WA) regression and calibration.
Usage
WA(y, x, mono=FALSE, tolDW = FALSE, use.N2=TRUE

cat: cat

CRAN

afCEC: Active Function Cross-Entropy Clustering

R: cat
catR Documentation
cat

cats: cats.

GITHUB

hilaryparker/cats: Cats

R: cats.
catsR Documentation
cats.

cats: cats

GITHUB

BillVenables/WWRData: Data Sets for Working with R Workshops

R: cats
catsR Documentation
cats

Cat: Cat

GITHUB

EagerAI/fastai: Interface to 'fastai'

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

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: Dataset with Cats

GITHUB

oeysan/bfw: Bayesian Framework for Computational Modeling

or No
Alignmentinteger Good or Evil
Ratingsdouble Cats rate their owners (average of multiple seven-point Likert-type scale (1 = Hate ... 7 = Love)

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

Cats: Dataset with Cats

CRAN

bfw: Bayesian Framework for Computational Modeling

or No
Alignmentinteger Good or Evil
Ratingsdouble Cats rate their owners (average of multiple seven-point Likert-type scale (1 = Hate ... 7 = Love)

Cat: Cat Distribution

CRAN

joker: Probability Distributions and Parameter Estimation

Usage
Cat(prob = c(0.5, 0.5))
dcat(x, prob, log = FALSE)

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

Cats: Cat Behaviors

GITHUB

dereksonderegger/dsData: Datasets for Teaching

R: Cat Behaviors
CatsR Documentation
Cat Behaviors

CATS: CATS Time Series Competition

CRAN

tspredit: Time Series Prediction with Integrated Tuning

Series Prediction Competition: The CATS Benchmark. Neurocomputing, 70(13-15), 2325–2329.
Examples
# Load CATS dataset

CATS: Time series of the CATS Competition

CRAN

TSPred: Functions for Benchmarking Time Series Prediction

. Simula, and M. Verleysen, 2007, Time series
prediction competition: The CATS benchmark, Neurocomputing, v. 70, n. 13-15

cats: Cats (C-6)

GITHUB

clintpgeorge/ldamcmc: Markov chain Monte Carlo Algorithms for the Latent Dirichlet Allocation Model

R: Cats (C-6)
catsR Documentation
Cats (C-6)

cats: Cats (C-6)

GITHUB

clintpgeorge/ldavem: LDA Variational EM Algorithm

R: Cats (C-6)
catsR Documentation
Cats (C-6)