BDEN                    Bayesian Dynamic Elastic Net
DEN                     Greedy method for estimating a sparse solution
GIBBS_update            Gibbs Update
LOGLIKELIHOOD_func      Calculates the Log Likelihood for a new sample
                        given the current state (i.e. log[L(G|x)P(G)])
MCMC_component          Componentwise Adapted Metropolis Hastings
                        Sampler
Model                   Test dataset for demonstrating the bden
                        algorithm.
SETTINGS                Automatic Calculation of optimal Initial
                        Parameters
confidenceBands         Get the estimated confidence bands for the
                        bayesian method
createCompModel         Create compilable c-code of a model
estiStates              Get the estimated states
hiddenInputs            Get the estimated hidden inputs
importSBML              Import SBML Models using the Bioconductor
                        package 'rsbml'
nominalSol              Calculate the nominal solution of the model
odeEquations-class      A S4 class used to handle formatting
                        ODE-Equation and calculate the needed functions
                        for the seeds-algorithm
odeModel-class          A class to store the important information of
                        an model.
optimal_control_gradient_descent
                        estimating the optimal control using the
                        dynamic elastic net
outputEstimates         Get the estimated outputs
plot,resultsSeeds,missing-method
                        Plot method for the S4 class resultsSeeds
plotAnno                Create annotated plot
print,resultsSeeds-method
                        A default printing function for the
                        resultsSeeds class
res                     Results from the uvb dataset for examples
resultsSeeds-class      Results Class for the Algorithms
seeds-package           seeds: Estimate Hidden Inputs using the Dynamic
                        Elastic Net
setInitState            Set the vector with the initial (state) values
setInput                Set the inputs of the model.
setMeas                 set measurements of the model
setMeasFunc             Set the measurement equation for the model
setModelEquation        Set the model equation
setParms                Set the model parameters
setSd                   Set the standard deviation of the measurements
uvbData                 UVB signal pathway
uvbModel                An object of the odeModel Class
