R: Automatic Time Series Analysis and Forecasting using Ata...
const macros = { "\\R": "\\textsf{R}", "\\code
:3)$freq))
## ex. 4: two 10-item forms, max TIF over (-1, 1), consider item sets
x <- ata(pool, 2, test_len=10, max_use
:3)$freq))
## ex. 4: two 10-item forms, max TIF over (-1, 1), consider item sets
x <- ata(pool, 2, test_len=10, max_use
), consider item sets
x <- ata(pool, 2, len=10, max_use=1, group="group")
x <- ata_obj_relative(x, seq(-1, 1, .5), 'max')
), consider item sets
x <- ata(pool, 2, len=10, max_use=1, group="group")
x <- ata_obj_relative(x, seq(-1, 1, .5), 'max')
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
R: vendor
vendorR Documentation
vendor
R: Retrieves the set of all vendors available.
vendorsR Documentation
Retrieves the set of all vendors available
: false, macros }); }
return;
AtAR Documentation
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
ata(Triangle, NArow.rm = TRUE, colname.sep = "-",
colname.order=c("ascending","descending"))
Arguments
triangle.
Usage
ata(Triangle, NArow.rm = TRUE, colname.sep = "-",
R: Age to Age factors
ataR Documentation
Age to Age factors
R: Vendor the cpp4r and armadillo4r headers
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
ata(Triangle, NArow.rm = TRUE, colname.sep = "-",
colname.order=c("ascending","descending"))
Arguments
R: Vendor renv in an R package
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Vendor the cpp4r headers
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
, { throwOnError: false, macros }); }
return;
AtAR Documentation
Package: ata
Title: Automated Test Assembly
Version: 1.1.1
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