GAMLj in R

PATHj version ≥ 0.5.0

Introduction

GAMLj module can be installed and used in R as a standard R packages. Please check the R help for details. Here we provide some appliactions of the package in R.

Installation

At the moment, PATHj is not in CRAN yet, so you need to install it via devtools

devtools::install_github("pathj/pathj")

Path Analysis

Description

Path Analysis

Usage

 
 pathj( 
   data, 
   endogenous = NULL, 
   factors = NULL, 
   covs = NULL, 
   multigroup = NULL, 
   se = "standard", 
   r2ci = "fisher", 
   r2test = FALSE, 
   bootci = "perc", 
   ci = TRUE, 
   ciWidth = 95, 
   bootN = 1000, 
   showintercepts = TRUE, 
   intercepts = TRUE, 
   indirect = FALSE, 
   contrasts = NULL, 
   showRealNames = TRUE, 
   showContrastCode = FALSE, 
   scaling = NULL, 
   endogenousTerms = list(list()), 
   diagram = FALSE, 
   diag_paths = "est", 
   diag_resid = FALSE, 
   diag_labsize = "medium", 
   diag_rotate = "2", 
   diag_type = "tree2", 
   diag_shape = "rectangle", 
   diag_abbrev = "0", 
   varcov = NULL, 
   cov_y = TRUE, 
   cov_x = TRUE, 
   constraints = list(), 
   constraints_examples = FALSE, 
   showlabels = FALSE, 
   scoretest = TRUE, 
   cumscoretest = FALSE, 
   estimator = "ML", 
   likelihood = "normal", 
   formula 
 ) 
 

Arguments

data	the data as a data frame
endogenous	a vector of strings naming the mediators from data
factors	a vector of strings naming the fixed factors from data
covs	a vector of strings naming the covariates from data
multigroup	factor defining groups for multigroup analysis
se	.
r2ci	Choose the confidence interval type
r2test	.
bootci	Choose the confidence interval type
ci	.
ciWidth	a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the parameter estimates
bootN	number of bootstrap samples for estimating confidence intervals
showintercepts	TRUE or FALSE (default), show intercepts
intercepts	TRUE or FALSE (default), show intercepts
indirect	TRUE or FALSE (default), show intercepts
contrasts	a list of lists specifying the factor and type of contrast to use, one of ‘deviation’, ‘simple’, ‘difference’, ‘helmert’, ‘repeated’ or ‘polynomial’
showRealNames	TRUE or FALSE (default), provide raw names of the contrasts variables
showContrastCode	TRUE or FALSE (default), provide contrast coefficients tables
scaling	a named vector of the form c(var1=‘type’, var2=‘type2’) specifying the transformation to apply to covariates, one of ‘centered’ to the mean, ‘standardized’,‘log’ or ‘none’. ‘none’ leaves the variable as it is.
endogenousTerms	a list of lists specifying the models for with the mediators as dependent variables.
diagram	TRUE or FALSE (default), produce a path diagram
diag_paths	Choose the diagram labels
diag_resid	TRUE or FALSE (default), produce a path diagram
diag_labsize	Choose the diagram labels
diag_rotate	Choose the diagram labels
diag_type	Choose the diagram labels
diag_shape	Choose the diagram labels
diag_abbrev	Choose the diagram labels
varcov	a list of lists specifying the covariances that need to be estimated
cov_y	TRUE or FALSE (default), produce a path diagram
cov_x	TRUE or FALSE (default), produce a path diagram
constraints	a list of lists specifying the models random effects.
constraints_examples	.
showlabels	.
scoretest	.
cumscoretest	.
estimator	Choose the diagram labels
likelihood	Choose the diagram labels
formula	(optional) the formula to use, see the examples

Value

Examples

Comments?

Got comments, issues or spotted a bug? Please open an issue on PATHj at github or send me an email