Man pages for shimlab/HMTree
Hidden Markov tree prior for analysis of multiple functional data
| bintest | Returns estimates of intercept and slope as well as their... |
| estimate.logp.overallintensity | Take a series of Poisson count signals x, with data on... |
| gen.curves | Simulate multiple curve data from a given model (either... |
| glm.approx | Fit the model specified in documentation, using either a... |
| haar.aggregate | Get data at all scales. |
| HMTree.denoise_1D | Return alpha_vec,open to user for now |
| HMTree.parameter | Simulate multiple curve data from a given model (either... |
| MLE.se.logitp | Take a series of Poisson count signals x, with data on... |
| reflectSignal | Reflects the signal and extends it to a power of 2 if... |
| safe.quasibinomial.glm.fit | Modified glm function to return relevant outputs, not... |
| simu.curves | Simulate multiple curve data from a given model (either... |
| simulate_true_curve | Simulate a true curve according to different models |
| v3 | Compute approximately unbiased variance estimates for the... |
| vs | Compute approximately unbiased variance estimates for the... |
| vss | Compute approximately unbiased variance estimates for the... |
