R: Identifying Infection with Machine Intelligence

# Identifying Infection with Machine Intelligence

## Documentation for package ‘iimi’ version 1.2.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

convert_bam_to_rle | convert_bam_to_rle
convert_rle_to_df | Convert run-length encodings (RLEs) to a data frame.
create_high_nucleotide_content | create_high_nucleotide_content
create_mappability_profile | create_mappability_profile
example_cov | Coverage profiles of three plant samples.
example_diag | Known diagnostics result of virus segments
nucleotide_info | Nucleotide information of virus segments
plot_cov | plot_cov()
predict_iimi | predict_iimi()
trained_en | A trained model using the default Elastic Net settings
trained_rf | A trained model using the default Random Forest settings
trained_xgb | A trained model using the default XGBoost settings
train_iimi | train_iimi()
unreliable_regions | The unreliable regions of the virus segments