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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

0.7.1

License

GPL (>= 3)

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1

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Maintainer

Corie Drake

Last Published

February 25th, 2026

Functions in emery (0.7.1)

show,MultiMethodMLEstimate-method

Show a MultiMethodMLEstimate S4 object
name_thing

Create unique names for a set of things
unique_obs_summary

Reduce Data by Summarizing Observations
setFreqs,MultiMethodMLEstimate-method

Set frequencies of MultiMethodMLEstimate objects
setFreqs

Set frequencies of MultiMethodMLEstimate objects
bin_auc

Calculate AUC for single Se/Sp pair
define_disease_state

Define the True disease state of a simulated sample
aggregate_boot_ML

Aggregate bootstrapped ML estimates
getNames,MultiMethodMLEstimate-method

Return names from MultiMethodMLEstimate object
dmvnorm

Multivariate Normal Densities
censor_data

Censor data randomly rowwise
estimate_ML

Estimate maximum likelihood accuracy statistics by expectation maximization
boot_ML

Bootstrap ML accuracy statistic estimation for multi-method data
new_boot_ML

Create new boot_ML class object
getNames

Return names from MultiMethodMLEstimate object
plot.boot_ML

Plot univariate distributions of bootstrapped ML estimates
random_start

Generate a random initial starting point for EM algorithm
MultiMethodMLEstimate-class

S4 object containing the results of multi-method ML accuracy estimates
generate_multimethod_data

Create data sets which simulate paired measurements of multiple methods
pollinate_ML

Generate seed values for EM algorithm
getResults,MultiMethodMLEstimate-method

Return result from MultiMethodMLEstimate object
getResults

Return result from MultiMethodMLEstimate object
plot_ML

Create plots visualizing the ML estimation process and results.
plot,MultiMethodMLEstimate-method

Create plots from a MultiMethodMLEstimate object