WA: Weighted averaging (WA) regression and calibration
^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted
^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted
^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted
R: cat
catR Documentation
cat
R: Cat
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Cat
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Cat
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: cats
catsR Documentation
cats
R: cats.
catsR Documentation
cats.
or No
Alignmentinteger Good or Evil
Ratingsdouble Cats rate their owners (average of multiple seven-point Likert-type scale (1 = Hate ... 7 = Love)
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
R: Cat Distribution
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
or No
Alignmentinteger Good or Evil
Ratingsdouble Cats rate their owners (average of multiple seven-point Likert-type scale (1 = Hate ... 7 = Love)
R: Cat Module.
CatR Documentation
Cat Module.
R: Cat Behaviors
CatsR Documentation
Cat Behaviors
R: Cat names
catsR Documentation
Cat names
R: Cat names
catsR Documentation
Cat names
, size = 0.1, cat = 1, catcolor = "#000000FF",
linecolor = 1, type = "justcats")
Arguments
, size = 0.1, cat = 1, catcolor = "#000000FF",
linecolor = 1, type = "justcats")
Arguments
R: Time series of the CATS Competition
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Summary of 144 cats
catsR Documentation
Summary of 144 cats
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