Package index • FlexRL

All functions

FDP_score(): Model specific, linkage score based, false discovery proportion at a given threshold
FDP_synth(): Model agnostic, based on synthetic data, false discovery proportion at a given threshold
FlexRL-package FlexRL: FlexRL: A Flexible Model for Record Linkage
RL_agreement(): Agreement rate of pairs on shared variables
RL_diagnostics(): Post-linkage diagnostics
StEM(): Stochastic Expectation-Maximisation for record linkage
compute_RL_FDP_score(): Estimate the false discovery proportion of a record-linkage method via model specific linkage scores
compute_augmRL_FDP_synth(): Estimate the false discovery proportion of a record-linkage method via synthetic augmentation
create_data_alpha(): Book-keeping data frame for parameters of PIVs dynamics
link_with_BRL(): Run BRL through the uniform wrapper interface
link_with_FlexRL(): Run FlexRL through the uniform wrapper interface
link_with_diyar(): Run diyar through the uniform wrapper interface
link_with_fastLink(): Run fastLink through the uniform wrapper interface
link_with_fedmatch(): Run fedmatch through the uniform wrapper interface
link_with_multilink(): Run multilink through the uniform wrapper interface
link_with_reclin2(): Run reclin2 through the uniform wrapper interface
log_lik(): Log-likelihood of the linkage matrix
log_possible_config(): Log number of possible linkage configurations
mmd(): Maximum Mean Discrepancy between two sets of variables
naive_linkage(): Naive (deterministic exact-match) record linkage
plot(<FDP_curves>): Plot FDP estimates against the linkage decision threshold
plot(<RL_diagnostics>): Plot post-linkage diagnostics
plot(<discrepancy_curves>): Plot post-linkage diagnostics over thresholds
plot_StEM_convergence(): Monte Carlo convergence (trace) plots for a fitted StEM model
plot_distributions(): Compare distributions of shared variables across data sets (histograms/barplots)
plot_linkage_scores(): Plot the distribution of linkage scores
prepare_data(): Prepare two data sources for StEM()
print(<RL_diagnostics>): Print post-linkage diagnostics
prop_level(): Proportion of a data set with a given variable at a given level
simulateD(): Simulate the linkage matrix D
simulateH(): Simulate the true PIV values underlying the registered records
simulate_data(): Simulate two linked data sources for record linkage benchmarking
smd(): Standardised mean difference between a selected set and a baseline
support_iou(): Intersection-over-union of two histogram supports
survival_S(): Evaluate a survival model's S, C++ fast path for the built-in families
survival_model(): Survival models for the dynamics of a PIV
synthesise(): Augment file B with synthetic records