Man pages for seeds
Estimate Hidden Inputs using the Dynamic Elastic Net
| 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 |
