boot_tgr(): Fixed orientation/rts not propagating to
bootstrap replicates (always defaulted to output/CRS).boot_tgr(): Fixed hardcoded group column name; now
respects the user’s original group variable..loglik_to_u_hat() now respects the
dist argument with correct JLMS formulas for half-normal,
truncated-normal, and exponential distributions.autoplot methods now use proper conditional S3
registration (@exportS3Method ggplot2::autoplot) instead of
direct export()..extract_benchmarking() now attempts to retrieve
XREF/YREF from Farrell objects and .estimate_from_models()
gives a clear error when DEA models lack the required X/y/beta.technology_gap_ratio() documentation now correctly
notes that TGR can exceed 1 under the stochastic metafrontier.simulate_panel_metafrontier(): Simulate balanced panel
data with time-varying inefficiency and technical change for Monte Carlo
studies.eta parameter.boot_tgr(): Bootstrap confidence intervals for
technology gap ratios. Supports parametric (residual resampling) and
nonparametric (case resampling) approaches, with percentile and BCa
interval types.ncores argument using the
parallel package.print, confint, and
plot for boot_tgr objects.latent_class_metafrontier(): EM algorithm for
estimating latent class stochastic frontier models within the
metafrontier framework.select_n_classes(): Automatic selection of the optimal
number of latent classes via BIC.print, summary,
coef, and efficiencies for
lc_metafrontier objects.autoplot.metafrontier(): Visualise TGR distributions
and efficiency decompositions using ggplot2.autoplot.malmquist_meta(): Plot Malmquist index
components over time.autoplot.boot_tgr(): Visualise bootstrap distributions
and confidence intervals for TGR.as_metafrontier_model(): Convert pre-fitted model
objects from sfaR (sfacross),
frontier (sfa), and Benchmarking
(Farrell) packages into metafrontier-compatible
format..safe_mills()) prevents NaN in extreme tail
regions for both panel SFA and latent class models.lm.wfit() for weighted regression instead of explicit
diagonal weight matrices.dea_batch_fast() for improved performance on large
datasets.boot_tgr() now
validates R >= 1 with an informative error message.summary() methods now return invisible S3 objects
for programmatic access, with print() methods for
display.@examples on all exported S3 methods and
autoplot functions.@param documentation for control
argument in metafrontier() with optim
options.Initial CRAN release.
metafrontier(): Main estimation function supporting
SFA- and DEA-based metafrontiers.y ~ x1 + x2 | z1 + z2).models= argument (sfaR,
frontier).malmquist_meta(): Metafrontier Malmquist TFP index with
three-way decomposition (TEC x TGC x TC*) following O’Donnell, Rao, and
Battese (2008).technology_gap_ratio() / tgr_summary():
Extract and summarise TGR by group.efficiencies(): Extract group, metafrontier, and TGR
efficiency scores.poolability_test(): Likelihood ratio test for
technology heterogeneity.simulate_metafrontier(): Data-generating process for
Monte Carlo studies.print, summary,
coef, vcov, logLik,
fitted, residuals, nobs,
plot, confint, predict.