In asqm/digavaan: Easily dig relevant information from `lavaan`, `cfa`, `sem` and `growth` objects

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digavaan

The goal of digavaan is to extract information as R data structures from a lavaan object.

Installation

Install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("asqm/digavaan")

Warning: digavaan will most likely never go to CRAN because it uses internal functions from lavaan. This hinders the package as unstable. However, because most of the inner functions that are used in this package are the same used by lavaan::summary, unless there's a breaking change (very unlikely with such a mature package) the same information should be stable.

Example

Using the same example from lavaan:

library(lavaan)
library(digavaan)

model <- "
    # latent variables
     ind60 =~ x1 + x2 + x3
      dem60 =~ y1 + y2 + y3 + y4
      dem65 =~ y5 + y6 + y7 + y8
    # regressions
      dem60 ~ ind60
      dem65 ~ ind60 + dem60
    # residual covariances
      y1 ~~ y5
      y2 ~~ y4 + y6
      y3 ~~ y7
      y4 ~~ y8
      y6 ~~ y8"

fit <- sem(model, data=PoliticalDemocracy)

# Traditional print
summary(fit)

# Same information but as a data frames
summary_lavaan(fit)

asqm/digavaan documentation built on May 10, 2019, 8:05 a.m.