Title: Nearest Neighbour Contingency Table Analysis
Author: Marcelino de la Cruz Rot and Philip M. Dixon
Maintainer: Marcelino de la Cruz Rot <marcelino.delacruz@upm.es>
Description: Function to test spatial segregation and association based
in contingency table analysis of nearest neighbour counts
following Dixon (2002). Some fortran code has been included to
the original dixon2002 function of the ecespa package to

Maintainer: Marcelino de la Cruz Rot <marcelino.delacruz@urjc.es>
Description: Function to test spatial segregation and association based in contingency table analysis of nearest neighbour counts following Dixon (2002) <doi:10.1080/11956860.2002.11682700>. Some 'Fortran' code has been included to the original dixon2002() function of the 'ecespa' package to improve speed.
Packaged: 2017-11-24 22:03:43 UTC; marcelino

Depends: splancs, spatstat.geom, spatstat (>= 2.0-0)
Packaged: 2021-02-14 12:15:53 UTC; marcelino

Packaged: 2022-02-12 14:30:17 UTC; marcelino

Title: Dixon's Ratio Test for Outlier Detection
Authors@R: c(person("Thorsten", "Pohlert", role = c("aut", "cre"),
person("George C.", "McBane", role = "ctb"))
Description: For outlier detection in small and normally distributed
samples the ratio test of Dixon (Q-test) can be used. Density,
distribution function, quantile function and random generation
for Dixon's ratio statistics are provided as wrapper functions.
The core applies McBane's Fortran functions <doi:10.18637/jss.v016.i03>
that use Gaussian quadrature for a numerical solution.

Author: Thorsten Pohlert [aut, cre] (<https://orcid.org/0000-0003-3855-3025>),

Title: Multistage Record Linkage and Case Definition for
Description: Perform multistage deterministic linkages, apply case definitions to datasets, and deduplicate records.
Records (rows) from datasets are linked by different matching criteria and sub-criteria (columns) in a specified order of certainty.
The linkage process handles missing data and conflicting matches based on this same order of certainty.
For episode grouping, rows of dated events (e.g. sample collection) or interval of events (e.g. hospital admission) are
grouped into chronological episodes beginning with a "case". The process permits several options such as
episode lengths and recurrence periods which are used to build custom preferences for case assignment (definition).
The record linkage and episode grouping processes assign unique group IDs to matching records or those grouped into episodes.
This then allows for record deduplication or sub-analysis within these groups.
Imports: methods, utils, rlang, dplyr (>= 0.7.5), lubridate (>= 1.7.4),
Suggests: ggplot2, janitor, knitr, rmarkdown, testthat, covr