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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coef(<lifelihoodResults>)coeff() - Coefficient estimates
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compute_mortality_rate() - Compute empirical mortality rate
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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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get_config_path() - Get the path to a built-in configuration file.
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lifelihood() - Individual life history modelling
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lifelihoodData() - Data object for lifelihood
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logLik(<lifelihoodResults>) - Likelihood
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pred_mortality_rate() - Compute predicted mortality rate
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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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summary(<lifelihoodResults>) - Summary function to be used with the output of
lifelihood()
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vcov(<lifelihoodResults>) - Covariance matrix