WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,

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() {

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 Distribution

CRAN

joker: Probability Distributions and Parameter Estimation

ecat(x, type = "mle", ...)
## S4 method for signature 'Cat,numeric'
mle(distr, x, dim = NULL, na.rm = FALSE)

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)

CATS: CATS Time Series Competition

CRAN

tspredit: Time Series Prediction with Integrated Tuning

time series from the CATS (Competition on Artificial Time Series) benchmark.
Data Type: Artificial time series

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: Plot more cats!

GITHUB

Gibbsdavidl/CatterPlot: Plots with Cats

, size = 0.1, cat = 1, catcolor = "#000000FF",
linecolor = 1, type = "justcats")
Arguments

cats: Plot more cats!

GITHUB

Gibbsdavidl/CatterPlots: Plots with Cats

, size = 0.1, cat = 1, catcolor = "#000000FF",
linecolor = 1, type = "justcats")
Arguments

CATS: Time series of the CATS Competition

CRAN

TSPred: Functions for Benchmarking Time Series Prediction

Details
The CATS Competition presented an artificial time series with 5,000 points,
among which 100 are unknown