Determining the Number of Factors in Exploratory Factor Analysis by LSTM


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Documentation for package ‘LSTMfactors’ version 1.0.0

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af.softmax An Activation Function: Softmax
check_python_libraries Check and Install Python Libraries (numpy and onnxruntime)
data.DAPCS 20-item Dependency-Oriented and Achievement-Oriented Psychological Control Scale (DAPCS)
data.datasets.LSTM Subset Dataset for Training the Pre-Trained Long Short Term Memory (LSTM) Network
data.scaler.LSTM the Scaler for the Pre-Trained Long Short Term Memory (LSTM) Network
extractor.feature Extracting features for the pre-trained Long Short Term Memory (LSTM) Network
load.LSTM Load the pre-trained Long Short Term Memory (LSTM) Network
load.scaler Load the Scaler for the pre-trained Long Short Term Memory (LSTM) Network
LSTM A pre-trained Long Short Term Memory (LSTM) Network for Determining the Number of Factors
normalizor Feature Normalization
plot.LSTM Plot LSTM Classification Probability Distribution
print.LSTM Print LSTM Results