^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: MA
maR Documentation
MA
(c("Aradu.A04_106615237","C",0.5),c("Aradu.A03_7819678","T",0.5))
hap1 = mas(pop,marker,2,parental_genotypes)
R: ma
maR Documentation
ma
of Indonesia cities and regencies with the ID.
Usage
kota
Arma
Examples
f <- Ma(b = c(1, 2, 1) / 3)
R: Prepare data for MA plot
maR Documentation
Prepare data for MA plot
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
process.descUsed in summary: "MA-1","MA-2", ..., "MA-Q", "SIGMA2"
theta\theta_1, \theta_2, ..., \theta_q, \sigma^2
plengthNumber
R: Prepare data for MA plot
maR Documentation
Prepare data for MA plot
R: Generates the MA plot
MAR Documentation
Generates the MA plot
A vector with double values for the \theta of an MA(Q) process.
sigma2
A double value for the variance, \sigma ^2
R: Create a moving average (MA) model
MaR Documentation
Create a moving average (MA) model
R: Create a moving average (MA) model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
with double values for the theta of an MA(Q) process.
sigma2
A double value for the variance, sigma^2, of a WN process
with double values for the theta of an MA(Q) process.
sigma2
A double value for the variance, sigma^2, of a WN
")
LakeHuron <- as.data.frame(LakeHuron)
fit <- brm(x ~ ma(p = 2), data = LakeHuron)
of Washington.
Usage
data("WA")
## tolerance DW
mod3 <- wa(SumSST ~ ., data = ImbrieKipp, tol.dw = TRUE,
min.tol = 2, small.tol = "mean
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