Man pages for kreidles/informativeDropout
informativeDropout: varying coefficient models to account for informative dropout
| addKnot.binary | addKnot.binary |
| addKnot.gaussian | addKnot.gaussian |
| bayes.splines.fit | bayes.splines.fit |
| bayes.splines.iteration | bayes.splines.iteration |
| bayes.splines.model.options | bayes.splines.model.options |
| calculateDropoutTimeSpecificSlope | Calculate the estimated slope at the given dropout times |
| calculateMarginalSlope | Calculate the marginal slope at the given iteration |
| dirichlet.fit | dirichlet.fit |
| dirichlet.iteration | dirichlet.iteration |
| dirichlet.model.options | dirichlet.model.options |
| getInitialEstimatesCovariates | Fit a simple linear model to get initial values for... |
| getInitialEstimatesTheta | Fit a simple linear model to get initial values for... |
| informativeDropout | informativeDropout |
| informativeDropout.bayes.dirichlet | infortmativeDropout.bayes.dirichlet |
| informativeDropout.bayes.splines | Fit a varying coefficient model for longitudinal studies with... |
| informativeDropout.mixed | infortmativeDropout.mixed |
| mixed.model.options | Model options for the mixed model fit. A convenience wrapper... |
| moveKnot.binary | Add a new knot and use a Metropolis-Hastings step to... |
| moveKnot.gaussian | Add a new knot and use a Metropolis-Hastings step to... |
| plot.density | density plot for a parameter |
| plot.density.dirichlet.fit | plot.density.dirichlet.fit |
| plot.slopeByDropout | plot the slope by dropout time |
| plot.slopeByDropout.bayes.splines.fit | plot.slopeByDropout.bayes.splines.fit |
| plot.slopeByDropout.dirichlet.fit | plot.slopeByDropout.dirichlet.fit |
| plot.trace | trace plot for a parameter |
| plot.trace.bayes.splines.fit | Create a trace plot of the specified parameter |
| plot.trace.dirichlet.fit | plot.trace.dirichlet.fit |
| prob.acceptance | calculate the acceptance probability for a given update step... |
| removeKnot.binary | Remove a knot and use a Metropolis-Hastings step to determine... |
| removeKnot.gaussian | Remove a knot and use a Metropolis-Hastings step to determine... |
| sensitivity | perform sensitivity analysis on the slope results |
| sensitivity.bayes.splines.fit | sensitivity.bayes.splines.fit |
| sensitivity.dirichlet.fit | sensitivity.dirichlet.fit |
| sim_1 | A simulated data set based on the Multicenter Aids study... |
| summary.bayes.splines.fit | Summarize a Bayesian spline model run |
| summary.dirichlet.fit | summary.dirichlet.fit |
| summary.sensitivity.bayes.splines.fit | summary.sensitivity.bayes.splines.fit |
| treated_hiv | A simulated data set based on the Multicenter Aids study... |
| untreated_hiv | Longitudinal data of HIV in men who are both users and... |
| updateCovarianceParameters.binary | Add a new knot and use a Metropolis-Hastings step to... |
| updateCovarianceParameters.gaussian | Add a new knot and use a Metropolis-Hastings step to... |
| updateFixedEffects.binary | Add a new knot and use a Metropolis-Hastings step to... |
| updateFixedEffectsCovariates.binary | Update the regression coefficients related to common... |
| updateFixedEffectsCovariates.gaussian | Update the regression coefficients related to common... |
| updateFixedEffects.gaussian | Add a new knot and use a Metropolis-Hastings step to... |
| updateRandomEffects.binary | Update the random effects |
| updateRandomEffects.gaussian | Update the random effects |
| wls.binary | Single iteration of weighted least squares |
