Man pages for lkshrsch/gLVInterNetworks
Inference of interaction networks based on generalised Lotka Volterra dynamics
| addNoise_res | Add stochasticity to in silico generated data |
| assessment | Assess results from inference algorithm |
| compare_matrix | Compare two interaction matrices |
| compareStructures | Parameter estimation over a list of different network... |
| comparisonAllStructuresData1 | Result of regression on all 64 possible structures for Data... |
| comparisonTwoStructuresData1 | Result of regression on two possible structures for Data set... |
| correctly_intervalized_estimates | Check if confidence intervals of parameter estimates contain... |
| discrete | Function to discretize in silico generated data |
| draw_interaction_network | Add stochasticity to in silico generated data |
| exampleData1 | dataset with 2 species |
| exampleData2 | dataset with 6 species |
| generate_interaction_network | Add stochasticity to in silico generated data |
| gLVgenerateData | Generate random data for gLV fitting |
| gLVInterNetworks-package | Inference of interaction networks based on generalised Lotka... |
| gLVlinearRegression | Parameter estimation of algebraic linear discrete gLV model |
| gLVnonlinearRegression | Parameter estimation through gradient search of continuous... |
| inSilico_bio | Generate in silico data |
| interaction_compare | Compare interaction parameters |
| log_slope_luk | Estimates the slope of subsequential measurements |
| lrData1 | Result of linear regresssion on Data1 |
| modfit_pars_estimate_MLE_sequential | Parameter estimation in sequential manner using sensitivity... |
| networkStructures | Generate list of network structures for testing with... |
| nlrData1 | Result of nonlinear regresssion on Data1 |
| nlrData2 | Result of nonlinear regresssion on Data2 |
| obs2data_bio | Correctly format observations into input data for the model |
| parameter_matrix | Correctly format a parameter vector into a matrix as input... |
| plotGraph | Plot interaction network |
| plot.Inference_run | Plot function for objects returned by the inference function |
| plot.Sim_data | Plot function for objects returned by in silico data... |
| points.Sim_data | Add points corresponding to the original observations on top... |
| prediction | Predictions for parameterized models on new variable states |
| print.summary.Inference_run | Output summary description from an inference run |
| random_interaction_matrix_bio | Generate a random parameter matrix |
| regularized_linear_regression | Compute regularized parameter estimates for the linear model |
| R_squared | Coefficient of determination or Explained variance |
| sensitivityAnalysis | Compute parameter correlations and multicollinearity for the... |
| slope | Calculate slope estimate for time series observations |
| solveLV_bio | Wrapper for numerical computation of solutions of the gLV... |
| solveLV_Sens_bio | Wrapper for numerical computation of solutions of the gLV... |
| summary.Inference_run | Summary |
