Determining the Number of Factors in Exploratory Factor Analysis by LSTM

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Documentation for package ‘LSTMfactors’ version 1.0.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

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