| backward.procedure | Backward procedure for joint selection of covariates and... |
| boostrap.data | Bootstrap datasets |
| checkInitialFixedEffects | Check initial fixed effects for an SaemixModel object applied... |
| coef.saemix | Extract coefficients from an saemix fit |
| compare.saemix | Model comparison with information criteria (AIC, BIC). |
| conddist.saemix | Estimate conditional mean and variance of individual... |
| cow.saemix | Evolution of the weight of 560 cows, in SAEM format |
| createSaemixObject | Create saemix objects with only data filled in |
| default.saemix.plots | Wrapper functions to produce certain sets of default plots |
| discreteVPC | VPC for non Gaussian data models |
| discreteVPCTTE | VPC for time-to-event models |
| epilepsy.saemix | Epilepsy count data |
| extract-methods | Get/set methods for SaemixData object |
| fim.saemix | Computes the Fisher Information Matrix by linearisation |
| fitted.saemix | Extract Model Predictions |
| forward.procedure | Backward procedure for joint selection of covariates and... |
| initialize-methods | Methods for Function initialize |
| knee.saemix | Knee pain data |
| llgq.saemix | Log-likelihood using Gaussian Quadrature |
| llis.saemix | Log-likelihood using Importance Sampling |
| logLik | Extract likelihood from an SaemixObject resulting from a call... |
| lung.saemix | NCCTG Lung Cancer Data, in SAEM format |
| map.saemix | Estimates of the individual parameters (conditional mode) |
| mydiag | Matrix diagonal |
| npdeSaemix | Create an npdeObject from an saemixObject |
| oxboys.saemix | Heights of Boys in Oxford |
| PD1.saemix | Data simulated according to an Emax response model, in SAEM... |
| plotDiscreteData | Plot non Gaussian data |
| plot-methods | Methods for Function plot |
| plot-SaemixData | Plot of longitudinal data |
| plot-SaemixModel | Plot model predictions using an SaemixModel object |
| plot-SaemixModel-SaemixData-method | Plot model predictions for a new dataset. If the dataset is... |
| plot-SaemixObject-ANY-method | General plot function from SAEM |
| predict-methods | Methods for Function predict |
| predict.SaemixModel | Predictions for a new dataset |
| print-methods | Methods for Function print |
| psi-methods | Functions to extract the individual estimates of the... |
| rapi.saemix | Rutgers Alcohol Problem Index |
| read-methods | Create a longitudinal data structure from a file or a... |
| readSaemix-methods | Methods for Function read |
| replaceData | Replace the data element in an SaemixObject object |
| resid.saemix | Extract Model Residuals |
| saemix | Stochastic Approximation Expectation Maximization (SAEM)... |
| saemix.bootstrap | Bootstrap for saemix fits |
| saemixControl | List of options for running the algorithm SAEM |
| saemixData | Function to create an SaemixData object |
| SaemixData-class | Class "SaemixData" |
| saemix.internal | Internal saemix objects |
| saemixModel | Function to create an SaemixModel object |
| SaemixModel-class | Class "SaemixModel" |
| SaemixObject-class | Class "SaemixObject" |
| saemix.plot.data | Functions implementing each type of plot in SAEM |
| saemix.plot.select | Plots of the results obtained by SAEM |
| saemix.plot.setoptions | Function setting the default options for the plots in SAEM |
| saemix.predict | Compute model predictions after an saemix fit |
| saemixPredictNewdata | Predictions for a new dataset |
| SaemixRes-class | Class "SaemixRes" |
| showall-methods | Methods for Function showall |
| show-methods | Methods for Function show |
| simulateDiscreteSaemix | Perform simulations under the model for an saemixObject... |
| simulate.SaemixObject | Perform simulations under the model for an saemixObject... |
| step.saemix | Stepwise procedure for joint selection of covariates and... |
| stepwise.procedure | Stepwise procedure for joint selection of covariates and... |
| sub-SaemixModel-method | Get/set methods for SaemixModel object |
| sub-SaemixObject-method | Get/set methods for SaemixObject object |
| sub-SaemixRes-method | Get/set methods for SaemixRes object |
| subset | Data subsetting |
| summary-methods | Methods for Function summary |
| testnpde | Tests for normalised prediction distribution errors |
| theo.saemix | Pharmacokinetics of theophylline |
| toenail.saemix | Toenail data |
| transform | Transform covariates |
| transformCatCov | Transform categorical covariates |
| transformContCov | Transform continuous covariates |
| validate.covariance.model | Validate the structure of the covariance model |
| validate.names | Name validation (## )Helper function not intended to be... |
| vcov | Extracts the Variance-Covariance Matrix for a Fitted Model... |
| xbinning | Internal functions used to produce prediction intervals (from... |
| yield.saemix | Wheat yield in crops treated with fertiliser, in SAEM format |
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