Package index
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call.LLfn2() - Direct call to log-likelihood fuction
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.create.block.data.maps() - create data maps and state info for each block
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.get.VCE.fromH() - Compute VCE
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.initialize.blocks() - create initial block structure
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.onegroup.resample.trans.prob() - resamples transition probs for a single group
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.Pt() - computes the transition matrix P(t) at a single timepoint given a single vector of covariates and time t
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.repackage() - Prepare modelobj data for optimization
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.trans.prob.mean() - transition probs using a single mean covariate vector (averaged over all time, all ids) a fixed beta vector
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.trans.prob.meanbyt() - mean-by-t transition probs using a fixed beta vector
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.trans.prob.sampleavg() - sample-averaged transition probs using a fixed beta vector
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.trans.prob.single() - predicted transition probs for a single covariate table and fixed beta vector from t = 1 to t = t.final
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empirical.transition.rates() - Compute empirical transition rates in dataset
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get.covdata.byid() - Get covariate data by ID
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get.data.by.group() - Get covariate data by group
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get.event.data() - reassembles the whole panel data by subject
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model.fit() - Fit a prepared model
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model.setup() - Set up data and model
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resample.statistics() - Display summary stats for table of probabilities created by resampling
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resample.trans.prob() - Resample transition probabilities
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standardize.df0() - Standardize the input dataframe
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table.directory() - Display table of directory entries for each transition
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table.event.counts() - Display table of event counts
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table.model.coeffs() - Display table of coefficients
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trans.prob() - Generates predicted transition probabilities
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trans2state() - Convert transition probabilities to state probabilities