
Package index
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epiparameter() - Create an
<epiparameter>object
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discretise()discretize() - Discretises a continuous distribution in an
<epiparameter>object
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as.data.frame(<epiparameter>) as.data.frame()method for<epiparameter>class
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as.function(<epiparameter>) as.function()method for<epiparameter>class
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c(<epiparameter>)c(<multi_epiparameter>) c()method for<epiparameter>class
-
family(<epiparameter>) - Family method for the
<epiparameter>class
-
format(<epiparameter>) - Format method for
<epiparameter>class
-
get_citation(<epiparameter>) - Get citation from an
<epiparameter>object
-
get_parameters(<epiparameter>)get_parameters(<multi_epiparameter>) - Get parameters from an
<epiparameter>object
-
is_parameterised()is_parameterized() - Check if
<epiparameter>or list of<epiparameter>objects contains a distribution and distribution parameters
-
lines(<epiparameter>) lines()method for<epiparameter>class
-
mean(<epiparameter>) - Mean method for
<epiparameter>class
-
plot(<epiparameter>) - Plot method for
<epiparameter>class
-
print(<epiparameter>) - Print method for
<epiparameter>class
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assert_epiparameter() - Assert an object is a valid
<epiparameter>object
-
test_epiparameter() - Test whether an object is a valid
<epiparameter>object
-
aggregate(<multi_epiparameter>) - Aggregate multiple
<epiparameter>objects into a single<epiparameter>object.
-
as.data.frame(<multi_epiparameter>) as.data.frame()method for<multi_epiparameter>class
-
get_citation(<multi_epiparameter>) - Get citation from a list of
<epiparameter>objects
-
plot(<multi_epiparameter>) plot()method for<multi_epiparameter>class
-
print(<multi_epiparameter>) - Print method for
<multi_epiparameter>class
-
get_citation() - Get citation from an object
-
get_parameters() - Get parameters from an object
-
create_citation() - Create a citation for an
<epiparameter>object
-
create_metadata() - Specify metadata associated with data set
-
create_method_assess() - Specify methodological aspects of distribution fitting
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create_prob_distribution() - Create a distribution object
-
create_region() - Specify the geography of the data entry
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create_summary_stats() - Specify reported summary statistics
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create_uncertainty() - Specify distribution parameter uncertainty
-
epiparameter_db() - Create
<epiparameter>object(s) directly from the epiparameter library (database)
-
as_epiparameter() - Convert to an
<epiparameter>object
-
as_epiparameter(<data.frame>) - Convert
<data.frame>to an<epiparameter>object
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parameter_tbl() - Table of epidemiological distributions
-
density(<epiparameter>)cdf(<epiparameter>)quantile(<epiparameter>)generate(<epiparameter>) - PDF, CDF, PMF, quantiles and random number generation for
<epiparameter>objects
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extract_param() - Calculate the parameters of a parametric probability distribution from reported values of percentiles, or median and range
-
convert_params_to_summary_stats() - Convert the parameter(s) of a distribution to summary statistics
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convert_summary_stats_to_params() - Convert the summary statistics of a distribution to parameters
-
is_continuous() - Check if distribution in
<epiparameter>is continuous
-
is_epiparameter() - Check object is an
<epiparameter>
-
is_epiparameter_params() - Check whether the vector of parameters for the probability distribution are in the set of possible parameters used in the epiparameter package
-
is_parameterised()is_parameterized() - Check if
<epiparameter>or list of<epiparameter>objects contains a distribution and distribution parameters
-
is_truncated() - Check if distribution in
<epiparameter>is truncated
-
calc_disc_dist_quantile() - Calculate the quantiles of a probability distribution based on the vector of probabilities and time data (e.g. time since infection)
-
epireview_core_cols - A vector of
characterstrings with the core column names of the epidemiological parameter data exported by the epireview R package.
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epiparameter_options - Package options