Compositional Data Analysis for Microbiome Studies
plot_prediction
coda_coxnet
coda_glmnet_longitudinal_null
coda_glmnet_longitudinal
coda_glmnet_longitudinal0
coda_glmnet_null
coda_glmnet
coda_glmnet0
coda4microbiome: Compositional Data Analysis for Microbiome Studies
data_survival
data_survival
explore_logratios
ecam_filtered
explore_lr_longitudinal
explore_zeros
filter_longitudinal
impute_zeros
integralFun
logratios_matrix
HIV
plot_riskscore
plot_signature_curves
plot_signature
plot_survcurves
plotMedianCurve
shannon_effnum
shannon_sim
shannon
ecam_filtered
Crohn
ecam_filtered
HIV
sCD14
data_survival
Crohn
HIV
sCD14
Functions for microbiome data analysis that take into account its compositional nature. Performs variable selection through penalized regression for both, cross-sectional and longitudinal studies, and for binary and continuous outcomes.
Useful links