Package index
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logmulogmu-package - Actuarial mortality experience analysis and modelling
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exp_data()val_data() - Create an
exp_dataor aval_data -
is_exp_data()is_val_data() - Is
xanexp_dataor aval_data? -
exp_start()exp_end() - Get experience period of
exp_data -
as_at() - Get the 'as at date' of a
val_data -
val_from_exp_data() - Create a
val_datafrom anexp_data -
`$<-`(<exp_data>)`$<-`(<val_data>) - Add or assign a data column
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is_mortality()end_age()log_mu()mortality() - Mortality-related functionality
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mortality_const() - Create a constant
mortality -
mortality_table() - Create an
mortalityfrom a 2D age-period matrix of annual mortality rates
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pronoun_expressions() - Parse a pronoun expression into an AST
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variable()static_variable()is_variable()is_static_variable()value() - Variables: scalar functions of an individual and time
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indicator()is_indicator()logical_value() - Indicators: a 0/1 function of an individual
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is_logmu_function() - Test for a logmu function object
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band()bands()age()ages()duration()durations()period()periods()include()is_include()period_included() - Includes: a single time interval per individual
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includes()is_includes()group_names() - Includes: a collection of includes
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category()categories() - Categories: breaking a population down by a categorical field
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aev() - Actual, expected and variance over experience data
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create_aev()`[[`(<aev>)`$`(<aev>)`[`(<aev>) - Properties of an aev
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is_aev() - Is an object an
aev? -
as.data.frame(<aev>) - Coerce an
aevto a data frame
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autoplot()plot(<aev>) - Chart an
aev -
theme_aev() - The chart theme, and how to resize a chart
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batch() - Run several analyses over one dataset in a single pass
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settings()is_settings()print(<logmu_settings>) - Settings for an analysis
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vec_active_lanes()vec_active_tier() - SIMD active lanes and tier
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vec_neg()vec_exp()vec_expm1()vec_log()vec_log1p()vec_m_from_q()vec_add()vec_sub()vec_mul()vec_div()vec_pow()vec_min()vec_max()vec_clamp() - Vector ops