Man pages for RestoreNet
Random-Effects Stochastic Reaction Networks
| BhattDist | Bhattacharyya distance |
| compile.h | Generate hazard function |
| condAIC | Conditional AIC (cAIC) |
| dBu | Gradient of E[u|θ] |
| dD2 | Gradient of V[u|θ] |
| dmvNorm | Multivariate Normal density function |
| fit.null | Fit the base (null) model |
| fit.re | Fit the random-effects model |
| get.boxplots | Clonal boxplots |
| get.dx | Time-adjacent increments of the cell counts |
| get.gnl | Gradient of the negative log-likelihood of the base (null)... |
| get.M | Design matrix M |
| get.nl | Negative log-likelihood of the base (null) model |
| get.rescaled | Rescaling a clonal tracking dataset |
| get.scatterpie | Clonal pie-chart |
| get.sim.tl | tau-leaping simulation algorithm |
| get.V | Net-effect matrix |
| get.W | Stochastic covariance matrix W |
| KLDiv | Kullback-Leibler divergence |
| ldet | Matrix determinant |
| ngQ | Gradient of the E-step function Q |
| norm2 | Euclidean 2-norm |
| nQ | E-step function Q |
| nullModelFitting | Fit base model |
| ny_u | Conditional negative log-likelihood |
| relErr | Multivariate relative error |
| rmvNorm | Random generator from a Multivariate Normal distribution |
| rndEffModelFitting | Fit random-effects model |
| rndEffModelStats | Base and random-effects model statistics |
| tr | Matrix trace |
| VEuy | E[u|y] and V[u|y] |
| Y_RM | Rhesus Macaque clonal tracking dataset |
