Title: An R interface for the ChemCpp library

Title: An R package for computing the similarity of molecules
Description: The Rchemcpp package implements the marginalized graph
kernel and extensions, Tanimoto kernels, graph kernels,
pharmacophore and 3D kernels suggested for measuring the

Depends: Rcpp (>= 0.9.13), R (>= 2.15.0), methods, ChemmineR

Description: A set of functions to generate, access and analyze standard data products from archival tagging data.
Imports: plyr, akima, maptools, graphics, stats, raster, rgeos, ncdf4,
maps, mapdata, grDevices, oceanmap, sp, methods, PBSmapping

Imports: plyr, maptools, graphics, stats, raster, rgeos, ncdf4, maps,
mapdata, grDevices, oceanmap, sp, methods, PBSmapping

Imports: plyr, maptools, graphics, stats, raster, readr, rgeos, ncdf4,
pracma, maps, mapdata, grDevices, oceanmap, sp, methods,

pracma, dygraphs, xts, maps, mapdata, grDevices, oceanmap, sp,

Title: Discrete Choice (Binary, Poisson and Ordered) Models with Random
Description: Estimate binary, ordered and count models with random parameters.
Imports: sandwich, ggplot2, plotrix, car, lmtest
Packaged: 2014-04-01 17:15:50 UTC; mauriciosarrias

Description: Estimate Binary (Probit and Logit), Ordered (Probit and Logit) and
Poisson models with random parameters using Simulated Maximum Likelihood.
Rchoice handles cross-sectional and panel databases.
Suggests: car, lmtest, memisc, pglm, sandwich, knitr
Packaged: 2014-12-17 14:22:48 UTC; mauriciosarrias

Description: An implementation of simulated maximum likelihood method for the
estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and
Poisson models with random parameters for cross-sectional and longitudinal
Imports: msm, plm, plotrix, stats, graphics
Suggests: car, lmtest, memisc, pglm, sandwich

Packaged: 2016-10-17 12:33:16 UTC; mauriciosarrias

Packaged: 2020-05-27 12:42:31 UTC; mauriciosarrias

Authors@R: person("Mauricio", "Sarrias", role = c("aut", "cre"), email = "msarrias86@gmail.com", comment = c(ORCID = "0000-0001-5932-4817"))
Description: An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data as presented in Sarrias (2016) <doi:10.18637/jss.v074.i10>.
Imports: sandwich, miscTools, numDeriv, memisc, msm, plm, plotrix,
Packaged: 2021-07-22 16:56:51 UTC; mauriciosarrias
Author: Mauricio Sarrias [aut, cre] (<https://orcid.org/0000-0001-5932-4817>)