#
# Copyright (C) 2013-2022 University of Amsterdam
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# This is a generated file. Don't change it
LatentGrowthCurve <- function(
data = NULL,
version = "0.19",
additionalFitMeasures = FALSE,
bootstrapSamples = 1000,
categorical = list(),
ciLevel = 0.95,
colorPalette = "colorblind",
covariates = list(),
covaryingLatentCurve = TRUE,
cubic = FALSE,
curvePlot = FALSE,
curvePlotCategorical = "",
curvePlotMaxLines = 150,
dependentCorrelation = TRUE,
emulation = "lavaan",
errorCalculationMethod = "standard",
estimator = "default",
exogenousLatentCorrelation = TRUE,
group = "",
impliedCovariance = FALSE,
intercept = TRUE,
latentInterceptFixedToZero = TRUE,
linear = TRUE,
manifestInterceptFixedToZero = FALSE,
misfitPlot = FALSE,
naAction = "fiml",
pathPlot = FALSE,
pathPlotMean = FALSE,
pathPlotParameter = FALSE,
plotHeight = 320,
plotWidth = 480,
quadratic = FALSE,
rSquared = FALSE,
regressions = list(),
residualCovariance = FALSE,
residualSingleIndicatorOmitted = TRUE,
residualVariance = TRUE,
scalingParameter = TRUE,
standardizedEstimate = FALSE,
syntax = FALSE,
threshold = TRUE,
timings = list(),
variables = list()) {
defaultArgCalls <- formals(jaspSem::LatentGrowthCurve)
defaultArgs <- lapply(defaultArgCalls, eval)
options <- as.list(match.call())[-1L]
options <- lapply(options, eval)
defaults <- setdiff(names(defaultArgs), names(options))
options[defaults] <- defaultArgs[defaults]
options[["data"]] <- NULL
options[["version"]] <- NULL
optionsWithFormula <- c("categorical", "colorPalette", "covariates", "curvePlotCategorical", "group", "regressions", "timings", "variables")
for (name in optionsWithFormula) {
if ((name %in% optionsWithFormula) && inherits(options[[name]], "formula")) options[[name]] = jaspBase::jaspFormula(options[[name]], data) }
return(jaspBase::runWrappedAnalysis("jaspSem::LatentGrowthCurve", data, options, version))
}
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