Cleans, geocodes, validates, reviews, and exports messy
    location address data supplied by the user. The package sits on top of
    'tidygeocoder': it calls geocoding services, rejects implausible
    coordinates with configurable region guards, applies fallback
    name/address matching, joins points to optional local geography with
    'sf', and records an audit trail showing how each coordinate was
    produced. Outputs are designed for manual review, dashboards, and
    reusable location crosswalks.

A bioinformatics pipeline for performing taxonomic
    assignment of DNA metabarcoding sequence data while considering
    geographic location. A detailed tutorial is available at
    <https://urodelan.github.io/LocaTT_Tutorial/>.
    A manuscript describing these methods is in preparation.

The local diffusion exponent for undirected, unweighted networks characterizes the speed of local diffusion from a specified node and depends on the resistance distance.

Computation of local false discovery rates.

Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.

Provides test of second-order stationarity for time
	series (for dyadic and arbitrary-n length data). Provides
	localized autocovariance, with confidence intervals,
	for locally stationary (nonstationary) time series.
	See Nason, G P (2013) "A test for second-order stationarity and
	approximate confidence intervals for localized autocovariance
	for locally stationary time series." Journal of the Royal Statistical
	Society, Series B, 75, 879-904.  <doi:10.1111/rssb.12015>.

Datasets for the fourth edition of "Statistics: Unlocking the Power of Data" by Lock^5
    Includes versions of datasets from earlier editions.

Locally sparse estimator of generalized varying coefficient model for asynchronous longitudinal data by kernel-weighted estimating equation.

Testing differential abundance at individual taxa and in a whole microbial community. The tests are based on the log-ratio of relative abundances. The tests accommodate continuous, discrete (binary, categorical), and multivariate traits, and allow adjustment of confounders. For more details see He (2026) <doi:10.64898/2026.04.07.716976>.