Path Diagrams for 'Lavaan' Models via 'DiagrammeR'
Plots path diagrams from models in 'lavaan' using the plotting
functionality from the 'DiagrammeR' package. 'DiagrammeR' provides nice path diagrams
via 'Graphviz', and these functions make it easy to generate these diagrams from a
'lavaan' path model without having to write the DOT language graph specification.

c(person("Christoph", "Kiefer",
email = "christoph.kiefer@uni-bielefeld.de",
role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-9166-400X")))
Estimation of a multi-group count regression models (i.e., Poisson,
negative binomial) with latent covariates. This packages provides two extensions
compared to ordinary count regression models based on a generalized linear model:
First, measurement models for the predictors can be specified allowing to account
for measurement error. Second, the count regression can be simultaneously estimated
in multiple groups with stochastic group weights. The marginal maximum likelihood
estimation is described in Kiefer & Mayer (2020) <doi:10.1080/00273171.2020.1751027>.
Rcpp (>= 1.0.5), fastGHQuad, pracma, methods, stats
Christoph Kiefer [cre, aut] (<https://orcid.org/0000-0002-9166-400X>)

Rcpp (>= 1.0.5), fastGHQuad, pracma, methods, stats,
SparseGrid

R Client for 'Turfjs' for 'Geospatial' Analysis
R client for 'Turfjs' (http://turfjs.org/) for
'geospatial' analysis. The package revolves around using 'GeoJSON'
data. Functions are included for creating 'GeoJSON' data objects,
measuring aspects of 'GeoJSON', and combining, transforming,
and creating random 'GeoJSON' data objects.
c(
person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
person("Jeff", "Hollister", role = "aut", email = "hollister.jeff@epa.gov")
)
Scott Chamberlain [aut, cre],
Jeff Hollister [aut]

Client for 'Turfjs' for 'Geospatial' Analysis
Client for 'Turfjs' (http://turfjs.org/) for
'geospatial' analysis. The package revolves around using 'GeoJSON'
data. Functions are included for creating 'GeoJSON' data objects,
measuring aspects of 'GeoJSON', and combining, transforming,
and creating random 'GeoJSON' data objects.
methods, stats, utils, V8, jsonlite, magrittr