lavaSearch2 (version 2.0.3)

coefByType: Extract the Coefficient by Type

Description

Extract specific types of coefficient from a lvm object: covariance coefficient(s) (coefCov), extra parameter(s) (coefExtra), position in the list of models for each coefficient (coefIndexModel), intercept coefficient(s) (coefIntercept), coefficient(s) that are used as reference (coefRef), regression coefficient(s) (coefReg), variance coefficient(s) (coefVar).

Usage

coefCov(object, value, keep.var, ...)
# S3 method for lvm
coefCov(object, value = FALSE, keep.var = FALSE, ...)
# S3 method for lvmfit
coefCov(object, value = FALSE, keep.var = FALSE, ...)
# S3 method for multigroup
coefCov(object, value = FALSE, keep.var = FALSE, ...)
coefExtra(object, value, ...)
# S3 method for lvm
coefExtra(object, value = FALSE, ...)
# S3 method for lvmfit
coefExtra(object, value = FALSE, ...)
# S3 method for multigroup
coefExtra(object, value = FALSE, ...)
coefIndexModel(object, ...)
# S3 method for lvm
coefIndexModel(object, ...)
# S3 method for lvmfit
coefIndexModel(object, ...)
# S3 method for multigroup
coefIndexModel(object, ...)
# S3 method for multigroupfit
coefIndexModel(object, ...)
coefIntercept(object, value, ...)
# S3 method for lvm
coefIntercept(object, value = FALSE, ...)
# S3 method for lvmfit
coefIntercept(object, value = FALSE, ...)
# S3 method for multigroup
coefIntercept(object, value = FALSE, ...)
coefRef(object, value, ...)
# S3 method for lvmfit
coefRef(object, value = FALSE, ...)
coefReg(object, value, ...)
# S3 method for lvm
coefReg(object, value = FALSE, ...)
# S3 method for lvmfit
coefReg(object, value = FALSE, ...)
# S3 method for multigroup
coefReg(object, value = FALSE, ...)
coefVar(object, value, ...)
# S3 method for lvm
coefVar(object, value = FALSE, ...)
# S3 method for lvmfit
coefVar(object, value = FALSE, ...)
# S3 method for multigroup
coefVar(object, value = FALSE, ...)

Value

A vector containing the names of the positions of the coefficients.

Arguments

object

a lvm model or a fitted lvm model

value

should the name of the coefficient be returned? Else return the coefficients

keep.var

should the variance coefficients be returned?

...

arguments to be passed to

Examples

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

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~x1+x2
latent(m) <- ~u
covariance(m) <- y1~y2

m.Sim <- m
categorical(m.Sim, labels = c("a","b","c")) <- ~x2
e <- estimate(m, lava::sim(m.Sim, 1e2))

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

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

coefExtra(m)

coefIndexModel(m)
coefIndexModel(e)

## additional categorical variable 
categorical(m, labels = as.character(1:3)) <- "X1"

coefExtra(m)
coefExtra(m, value = TRUE)

## additional categorical variable
categorical(m, labels = as.character(1:3)) <- "x1"

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

coefReg(e, value = TRUE)

#### multigroup ####
m <- lvm(Y~X1+X2)
eG <- estimate(list(m,m), list(lava::sim(m, 1e2), lava::sim(m, 1e2)))

coefIndexModel(eG)