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This package can be installed by running

devtools::install_github("therealcfdrake/emery", build_vignettes = TRUE)

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Install

install.packages('emery')

Monthly Downloads

141

Version

0.7.0

License

GPL (>= 3)

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0

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0

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1

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Maintainer

Corie Drake

Last Published

February 22nd, 2026

Functions in emery (0.7.0)

new_boot_ML

Create new boot_ML class object
getResults

Return result from MultiMethodMLEstimate object
name_thing

Create unique names for a set of things
getResults,MultiMethodMLEstimate-method

Return result from MultiMethodMLEstimate object
random_start

Generate a random initial starting point for EM algorithm
setFreqs,MultiMethodMLEstimate-method

Set frequencies of MultiMethodMLEstimate objects
show,MultiMethodMLEstimate-method

Show a MultiMethodMLEstimate S4 object
setFreqs

Set frequencies of MultiMethodMLEstimate objects
unique_obs_summary

Reduce Data by Summarizing Observations
plot_ML

Create plots visualizing the ML estimation process and results.
define_disease_state

Define the True disease state of a simulated sample
aggregate_boot_ML

Aggregate bootstrapped ML estimates
boot_ML

Bootstrap ML accuracy statistic estimation for multi-method data
dmvnorm

Multivariate Normal Densities
estimate_ML

Estimate maximum likelihood accuracy statistics by expectation maximization
MultiMethodMLEstimate-class

S4 object containing the results of multi-method ML accuracy estimates
getNames,MultiMethodMLEstimate-method

Return names from MultiMethodMLEstimate object
bin_auc

Calculate AUC for single Se/Sp pair
censor_data

Censor data randomly rowwise
generate_multimethod_data

Create data sets which simulate paired measurements of multiple methods
plot.boot_ML

Plot univariate distributions of bootstrapped ML estimates
getNames

Return names from MultiMethodMLEstimate object
pollinate_ML

Generate seed values for EM algorithm
plot,MultiMethodMLEstimate-method

Create plots from a MultiMethodMLEstimate object