Q_function              Q-function to replace log-likelihood function
biQ_function            Q-function to replace log-likelihood function
bifun_clu               main function for bifunctional clustering
bifun_clu_convert       convert result of bifunctional clustering
                        result
bifun_clu_parallel      parallel version for functional clustering
bifun_clu_plot          bifunctional clustering plot
biget_par_int           acquire initial parameters for functional
                        clustering
bipower_equation_plot   plot power equation fitting results for
                        bi-variate model
biqdODE_plot_all        plot all decompose plot for two data
biqdODE_plot_base       plot single decompose plot for two data
darken                  make color more dark
data_cleaning           remove observation with too many 0 values
data_match              match power_equation fit result for bi-variate
                        model
fun_clu                 main function for functional clustering
fun_clu_BIC             plot BIC results for functional clustering
fun_clu_convert         convert result of functional clustering result
fun_clu_parallel        parallel version for functional clustering
fun_clu_plot            functional clustering plot
fun_clu_select          select result of functional clustering result
get_SAD1_covmatrix      generate standard SAD1 covariance matrix
get_biSAD1              generate biSAD1 covariance matrix
get_interaction         Lasso-based variable selection
get_legendre_matrix     generate legendre matrix
get_legendre_par        use legendre polynomials to fit a given data
get_mu                  curve fit with modified logistic function
get_mu2                 generate mean vectors with ck and stress
                        condition
get_par_int             acquire initial parameters for functional
                        clustering
gut_microbe             gut microbe OTU data (species level)
legendre_fit            generate curve based on legendre polynomials
logsumexp               calculate log-sum-exp values
mustard_microbe         mustard microbe OTU data
network_conversion      convert ODE results(ODE_solving2) to basic
                        network plot table
network_maxeffect       convert ODE results(ODE_solving2) to basic
                        network plot table
network_plot            generate network plot
normalization           min-max normalization
power_equation          use power equation parameters to generate y
                        values
power_equation_all      use power equation to fit observed values
power_equation_base     use power equation to fit observed values
power_equation_fit      use power equation to fit given dataset
power_equation_plot     plot power equation fitting results
qdODE_all               wrapper for qdODE model
qdODE_fit               legendre polynomials fit to qdODE model
qdODE_ls                least-square fit for qdODE model
qdODE_parallel          wrapper for qdODE_all in parallel version
qdODE_plot_all          plot all decompose plot
qdODE_plot_base         plot single decompose plot
qdODEmod                quasi-dynamic lotka volterra model
qdODEplot_convert       convert qdODE results to plot data
