extractCoef: Extract the specific coefficient names or positions in a LVM

In bozenne/lava.penalty: Penalized Latent Variable Models

Description

Extract the specific coefficient names or positions in a LVM

Usage

coefType(x, ...)

## S3 method for class 'lvm'
coefType(x, ...)

## S3 method for class 'lvmfit'
coefType(x, level = 9, index.model = FALSE, ...)

## S3 method for class 'multigroup'
coefType(x, ...)

coefCov(x, ...)

## S3 method for class 'lvm'
coefCov(x, value = FALSE, keep.var = FALSE, ...)

## S3 method for class 'lvmfit'
coefCov(x, value = FALSE, keep.var = FALSE, ...)

## S3 method for class 'multigroup'
coefCov(x, value = FALSE, keep.var = FALSE, ...)

coefExtra(x, ...)

## S3 method for class 'lvm'
coefExtra(x, value = FALSE, ...)

## S3 method for class 'lvmfit'
coefExtra(x, value = FALSE, ...)

## S3 method for class 'multigroup'
coefExtra(x, value = FALSE, ...)

coefIndexModel(x, ...)

## S3 method for class 'lvm'
coefIndexModel(x, ...)

## S3 method for class 'lvmfit'
coefIndexModel(x, ...)

## S3 method for class 'multigroup'
coefIndexModel(x, ...)

coefIntercept(x, ...)

## S3 method for class 'lvm'
coefIntercept(x, value = FALSE, ...)

## S3 method for class 'lvmfit'
coefIntercept(x, value = FALSE, ...)

## S3 method for class 'multigroup'
coefIntercept(x, value = FALSE, ...)

coefRef(x, ...)

## S3 method for class 'lvmfit'
coefRef(x, value = FALSE, ...)

coefReg(x, ...)

## S3 method for class 'lvm'
coefReg(x, value = FALSE, ...)

## S3 method for class 'lvmfit'
coefReg(x, value = FALSE, ...)

## S3 method for class 'multigroup'
coefReg(x, value = FALSE, ...)

coefVar(x, ...)

## S3 method for class 'lvm'
coefVar(x, value = FALSE, ...)

## S3 method for class 'lvmfit'
coefVar(x, value = FALSE, ...)

## S3 method for class 'multigroup'
coefVar(x, value = FALSE, ...)

Arguments

x	a lvm model or a fitted lvm model
...	arguments to be passed to lava::coef
level	level argument of lava::coef
value	should the name of the coefficient be returned? Else return the coefficients
keep.var	should the variance parameters be output?

Examples

#### regression ####
m <- lvm(Y~X1+X2)
e <- estimate(m, sim(m, 1e2))

coefType(m)
coefType(e)
coefType(e, level = -1)

coefCov(m)
coefCov(m, value = TRUE)

coefCov(m, keep.var = TRUE)
coefCov(m, value = TRUE, keep.var = TRUE)

coefIndexModel(m)
coefIndexModel(e)

coefIntercept(m)
coefIntercept(m, value = TRUE)

coefReg(m)
coefReg(m, value = TRUE)

#### LVM ####
m <- lvm()
regression(m) <- c(y1,y2,y3)~u
regression(m) <- u~x
latent(m) <- ~u
covariance(m) <- y1~y2

e <- estimate(m, sim(m, 1e2))

coefType(m)
coefType(e)
coefType(e, level = -1)

coefCov(m)
coefCov(m, value = TRUE)#' 

coefCov(m, keep.var = TRUE)
coefCov(m, value = TRUE, keep.var = TRUE)

coefExtra(m)

coefIndexModel(m)
coefIndexModel(e)

categorical(m, K = 3) <- "X1"
coefExtra(m)
coefExtra(m, value = TRUE)

coefIntercept(m)
coefIntercept(m, value = TRUE)
coefIntercept(e)

coefReg(e, value = TRUE)
coefReg(e, level = -1, value = TRUE)

#### multigroup #####' 
eG <- estimate(list(m,m), list(sim(m, 1e2),sim(m, 1e2)))
coefType(eG)

bozenne/lava.penalty documentation built on May 13, 2019, 1:41 a.m.