R: Determining the Number of Factors in Exploratory Factor Analysis by LSTM

# Determining the Number of Factors in Exploratory Factor Analysis by LSTM

## 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