Package index
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AIC(<lifelihoodResults>) - Akaike Information Criterion
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AICc() - Akaike Information Criterion for small sample size
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BIC(<lifelihoodResults>) - Bayesian Information Criterion
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as_lifelihoodData() - Data object for lifelihood
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coef(<lifelihoodResults>)coeff() - Coefficient estimates
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compute_fitted_event_rate() - Compute fitted mortality rate
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compute_observed_event_rate() - Compute empirical event rate
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compute_reproduction_intervals() - Compute time interval between clutches
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datapierrick - Pierrick data
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default_bounds_df() - Get dataframe with default parameter boundaries
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fakesample - Fake sample
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goodness_of_fit() - Parametric goodness-of-fit from simulated datasets
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lifelihood() - Individual life history modelling
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logLik(<lifelihoodResults>) - Likelihood
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mcmc() - MCMC
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parallel.simulate() - Parallelized simulations
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plot(<lifelihoodGOF>) - Plot goodness-of-fit histogram
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prediction() - Prediction with lifelihood estimations
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remove_lifelihood_tempfiles() - Remove all lifelihood temporary files
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simulate_life_history() - Simulate outcomes from a fitted lifelihood model
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summary(<lifelihoodResults>) - Simple summary for lifelihoodResults objects
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use_test_config() - Get the path to a built-in configuration file.
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vcov(<lifelihoodResults>) - Covariance matrix