BDEN | Bayesian Dynamic Elastic Net |
confidenceBands | Get the estimated confidence bands for the bayesian method |
createCompModel | Create compilable c-code of a model |
DEN | Greedy method for estimating a sparse solution |
estiStates | Get the estimated states |
GIBBS_update | Gibbs Update |
hiddenInputs | Get the estimated hidden inputs |
importSBML | Import SBML Models using the Bioconductor package 'rsbml' |
LOGLIKELIHOOD_func | Calculates the Log Likelihood for a new sample given the... |
MCMC_component | Componentwise Adapted Metropolis Hastings Sampler |
Model | Test dataset for demonstrating the bden algorithm. |
nominalSol | Calculate the nominal solution of the model |
odeEquations-class | A S4 class used to handle formatting ODE-Equation and... |
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 |
plotAnno | Create annotated plot |
plotseeds | Plot method for the S4 class resultsSeeds |
print-seeds | 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 |
SETTINGS | Automatic Calculation of optimal Initial Parameters |
uvbData | UVB signal pathway |
uvbModel | An object of the odeModel Class |
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