R: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy

# Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy

## Documentation for package ‘qvirus’ version 0.0.4

- DESCRIPTION file.
- Package NEWS.

## Help Pages

cds_diff | Create Mean Standardized Differences from Longitudinal CD4 Data
cd_3 | Longitudinal CD4 Lymphocyte Counts for HIV Patients (2018-2024)
cd_diff | Create Mean Differences from Longitudinal CD4 Data
estimate_payoffs | Estimate Payoff Parameters for HIV Phenotype Interactions
InteractionClassification | Classify HIV phenotype interactions using k-means clustering
mse | Mean Squared Errors for Interaction Classification
mse.InteractionClassification | Mean Squared Errors for Interaction Classification
mse.payoffs | Mean Squared Errors for Payoff Predictions
nearest_payoff | Find Nearest Payoff
payoffs_list | Compute Payoff Values for Quantum HIV Phenotype Interactions
phen_hiv | Calculate Final State and Payoffs in Quantum Game
preds | Predictions for Longitudinal Viral Load Values for HIV Patients (2018-2024)
preds2 | Batched Predictions for Longitudinal Viral Load Values for HIV Patients (2018-2024)
qphen | Quantum Phenotype Interactions in HIV Model
summary | Summarize an InteractionClassification object
summary.InteractionClassification | Summarize an InteractionClassification object
summary.payoffs | Summarize Payoffs
vlogs_diff | Create Mean Standardized Differences from Logarithmic Viral Load Data
vlog_diff | Create Mean Differences from Logarithmic Viral Load Data
vl_3 | Longitudinal Viral Load Values for HIV Patients (2018-2024)
vl_diff | Create Mean Differences from Longitudinal Viral Load Data