Man pages for Stickbreaker
Fits Stickbreaking, Multiplicative and Additive Models to Data
| analyze.mult.add.data.batch | Analyze batch data generated by 'sim.fit.mult.add.data.batch' |
| analyze.stick.data.batch | Analyze batch data generated by 'sim.fit.stick.data.batch' |
| burns.data | A dataset containing the fitness values for recombinant... |
| calc.stick.logLn | Wrapper function so log-likelihood of stickbreaking can be... |
| calculate.posteriors.for.datasets | Calculates posterior probabilities for each row of dataset... |
| caudle.data | A dataset containing the fitness values for recombinant... |
| Chou.data | A dataset containing the fitness values for recombinant... |
| estimate.d.MLE | Find MLE of d |
| estimate.d.RDB | Estimate d using relative distance to boundary (RDB) methods |
| estimate.d.sequential | Estimate d using sequential method |
| fit.add.model | Fit the additive model to data |
| fit.models | Fit all models to data |
| fit.mult.model | Fit the multiplicative model to data |
| fit.nnet.multinomial.regression | Fit training data to multinomial regression using nnet... |
| fit.stick.model.given.d | Fit the stickbreaking model to data for a given value of d |
| generate.geno.matrix | Generate genotype matrix for given number of mutations. |
| generate.geno.weight.matrix | Internal simulation function to generate a matrix to weight... |
| Khan.data | A dataset containing the fitness values for recombinant... |
| regress.back.fitness.vs.effect | Linear regression of background fitness against effects |
| sim.add.data | Simulate data under additive model. |
| sim.data.calculate.posteriors | Simulate data from priors then use to calculate posterior... |
| sim.data.for.mod.selection | Simulate data at specified parameter values for doing model... |
| sim.data.from.priors.for.mod.selection | Simulate data from priors for doing model selection |
| sim.fit.mult.add.data.batch | Simulate fitness data under multiplicative and additive... |
| sim.fit.stick.data.batch | Simulate and fit batch data under stickbreaking model |
| sim.mult.data | Simulate data under multiplicative model. |
| sim.partial.data.from.priors.for.mod.selection | Simulate partial data from priors for doing model selection |
| sim.stick.data | Simulate data under stickbreaking model. |
| summarize.fits.for.posterior.calc | Extracts summary statistics from each model needed for... |
| summarize.posteriors.on.simulated.dataset | Calculate classification performance on simulated data |
