Description: Functions to make board game graphics.  Specializes in game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <https://www.ludism.org/ppwiki> but can make graphics for other board game systems.  Includes configurations for several public domain game systems.

Suggests: magick, rayrender (>= 0.5.8), rgl (>= 0.106.8), testthat,

Suggests: ggplot2, gridpattern, magick, rayrender (>= 0.5.8), readobj
(>= 0.4.0), rgl (>= 0.106.8), systemfonts, testthat, vdiffr

Suggests: ggplot2, gridpattern, magick, rayrender (>= 0.5.8), rayvertex

Title: Piecewise Structural Equation Modeling
Description: Implements piecewise structural equation models.
Imports: ggm, lavaan, lmerTest, nlme, lme4, methods

Imports: ggm, lavaan, pbkrtest, nlme, lme4, methods

Imports: lavaan, lme4, methods, nlme, pbkrtest

Author: Jon Lefcheck, Jarrett Byrnes, Jim Grace
Description: Implements piecewise structural equation modeling from a single
list of structural equations, with new methods for non-linear, latent, and
composite variables, standardized coefficients, query-based prediction and
Imports: car, lme4, MASS, nlme, methods, pbkrtest

person("Jon", "Lefcheck",   role = c("aut", "cre"), email = "jlefcheck@bigelow.org"),
person("Jarrett", "Byrnes",  role = "aut", email = "jarrett.byrnes@umb.edu"),
person("James", "Grace",  role = "aut", email = "gracej@usgs.gov")
indirect effects. See <http://jslefche.github.io/piecewiseSEM/> for more.

person("Jon", "Lefcheck",   role = c("aut", "cre"), email = "lefcheckj@si.edu"),
Imports: car, DiagrammeR, emmeans, igraph, lme4, MASS, methods, nlme

Imports: car, DiagrammeR, emmeans, igraph, lme4, multcomp, MASS,

Title: Potential Impact Fraction and Population Attributable Fraction
Authors@R: c(person("Rodrigo", "Zepeda-Tello", email = "rzepeda17@gmail.com", role = c("aut", "cre")), person("Dalia", "Camacho-García-Formentí", email = "daliaf172@gmail.com", role = c("aut")), person("Tonatiuh","Barrientos-Gutiérrez", role = c("ctb")), person("Ana","Basto-Abreu", role = c("ctb")), person("Ariela","Braverman-Bronstein", role = c("ctb")), person("Dèsirée","Vidaña-Pérez", role = c("ctb")), person("Frederick","Cudhea", role = c("ctb")), person("Instituto Nacional de Salud Pública", role=c("cph")))
Description: Uses a generalized method to estimate the Potential Impact Fraction (PIF) and the Population Attributable Fraction (PAF) from cross-sectional data. It creates point-estimates, confidence intervals, and estimates of variance. In addition it generates plots for conducting sensitivity analysis. The estimation method corresponds to  Zepeda-Tello,  Camacho-García-Formentí, et al. 2017. 'Nonparametric Methods to Estimate the Potential Impact Fraction from Cross-sectional Data'. Unpublished manuscript. This package was developed under funding by Bloomberg Philanthropies.
Imports: ggplot2, matrixcalc, MASS, sfsmisc, stats, gridExtra, numDeriv
Author: Rodrigo Zepeda-Tello [aut, cre],
Instituto Nacional de Salud Pública [cph]