from: Tomi Kauppinen, Benedikt Graeler, Christopher Davis,

Jesper Hoeksema, Alan Ruttenberg, and Daniel Bahls.

Author: Willem Robert van Hage <willem.van.hage@synerscope.com>, with contributions from: Tomi Kauppinen, Benedikt Graeler, Christopher Davis, Jesper Hoeksema, Alan Ruttenberg, and Daniel Bahls.
Maintainer: Willem Robert van Hage <willem.van.hage@synerscope.com>
Description: Use SPARQL to pose SELECT or UPDATE queries to an end-point.

Author: Willem Robert van Hage <W.R.van.Hage@vu.nl> and Tomi Kauppinen <tomi.kauppinen@uni-muenster.de>, with contributions from Christopher Davis <C.B.Davis@tudelft.nl>
Description: Use SPARQL to pose SELECT or update queries to an end-point.

Title: SPAtial Resolution-SEnsitive Models of Outbreak Dynamics
Description: Implementation of spatially-explicit, stochastic disease models with customizable time windows that describe how parameter values fluctuate during outbreaks (e.g., in response to public health or conservation interventions).
Imports: Rcpp (>= 1.0.4), future.apply, data.table, future, tidyverse,
Author: Joseph Mihaljevic [aut, cre] (C code, package development),
Toby Hocking [ctb] (R package interface),
Seth Borkovec [ctb] (package development)

Seth Borkovec [ctb] (package development),
Saikanth Ratnavale [ctb] (package development)

Title: Statistical Methods for Archaeology
Authors@R: c(person("Lise","Bellanger", role = "aut",
Description: Statistical pattern recognition and dating using archaeological artefacts assemblages.
Package of statistical tools for archaeology.
hclustcompro(perioclust): Bellanger Lise, Coulon Arthur, Husi Philippe (2020, ISBN:978-3-030-60103-4).
seriograph: Bruno Desachy (2004) <doi:10.3406/pica.2004.2396>.

mapclust: Bellanger Lise, Coulon Arthur, Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>.
seriograph: Desachy Bruno (2004) <doi:10.3406/pica.2004.2396>.

Maintainer: Carl James Schwarz <cschwarz.stat.sfu.ca@gmail.com>
Imports: BB, MASS, Matrix, msm, numDeriv, plyr
Description: The Stratified-Petersen Analysis System (SPAS) is designed
to estimate abundance in two-sample capture-recapture experiments
where the capture and recaptures are stratified. This is a generalization
of the simple Lincoln-Petersen estimator.
Strata may be defined in time or in space or both,
and the s strata in which marking takes place
may differ from the t strata in which recoveries take place.
When s=t, SPAS reduces to the method described by
When s<t, SPAS implements the methods described in
Schwarz and Taylor (1998) <doi:10.1139/f97-238> describe
the use of SPAS in estimating return of salmon stratified by
A related package, BTSPAS, deals with temporal stratification where
a spline is used to model the distribution of the population
over time as it passes the second capture location.
This is the R-version of the (now obsolete) standalone Windows
Packaged: 2019-02-07 06:25:06 UTC; carlschwarz