Title: Estimate ED50 and Its Confidence Interval
Author: Yongbo Gan, Zhijian Yang, Wei Mei
Description: Functions of five estimation method for ED50 (50 percent effective dose) are provided, and they are respectively
Dixon-Mood method (1948) <doi:10.2307/2280071>, Choi's original turning point method (1990) <doi:10.2307/2531453> and it's modified version given by
us, as well as logistic regression and isotonic regression. Besides, the package also supports
comparison between two estimation results.

Packaged: 2019-04-23 06:29:34 UTC; Yongbo Gan

Author: Fengru Wang, Yongbo Gan, Zhijian Yang, Wei Mei

Title: Experimental Design and Analysis for Tree Improvement
, person(c("Sami", "Ullah"),  email = "samiullahuos@@gmail.com", role = c("aut", "ctb"))
Description: Provides data sets and R Codes for Williams, E.R., Matheson, A.C. and Harwood, C.E. (2002). Experimental Design and Analysis for Tree Improvement, CSIRO Publishing.
Imports: tidyverse, stats, dplyr, ggplot2, magrittr, dae

Imports: dplyr, dae, emmeans, ggplot2, lme4, magrittr, pbkrtest, stats,

Title: Exploratory Data Analysis using Random Forests
Description: Functions useful for exploratory data analysis
using random forests which can be used to compute multivariate partial
dependence, observation, class, and variable-wise marginal and joint permutation
importance as well as observation-specific measures of distance
(supervised or unsupervised). All of the aforementioned functions are
accompanied by 'ggplot2' plotting functions.
Author: Zachary M. Jones <zmj@zmjones.com> and Fridolin Linder
Maintainer: Zachary M. Jones <zmj@zmjones.com>
Imports: foreach, iterators, ggplot2, assertthat, reshape2, plyr
Suggests: party, randomForest, randomForestSRC, doParallel, testthat,

Suggests: party, randomForest, randomForestSRC, ranger, testthat,

Package: edbuildmapr
Type: Package
Title: Download School District Geospatial Data, Perform Spatial
Analysis, and Create Formatted Exportable Maps
Version: 0.1.0
Authors@R: c(
person("Megan", "Brodzik", email = "megan@edbuild.org", role = c("cre", "aut")),
person("Cecilia", "Depman", email = "cecilia@edbuild.org", role = "aut"),
person("Sara", "Hodges", email = "sara@edbuild.org", role = "aut"))
Description: Import US Census Bureau, Education Demographic and Geographic Estimates Program,
Composite School District Boundaries Files for 2013-2017 with the option to attach the 'EdBuild'
master dataset of school district finance, student demographics, and community economic
indicators for every school district in the United States. The master dataset is built
from the US Census, Annual Survey of School System Finances (F33) and joins data from the
National Center for Education Statistics, Common Core of Data; the US Census, Small Area
Income and Poverty Estimates; and the US Census, Education Demographic and Geographic
Estimates. Additional functions in the package create a dataset of all pairs of school
district neighbors as either a dataframe or a shapefile and create formatted maps of
selected districts at the state or neighbor level, symbolized by a selected variable
in the 'EdBuild' master dataset. For full details about 'EdBuild' data processing please
see 'EdBuild' (2019) <https://edbuild.org/content/dividing-lines/main/methodology>.
License: CC0
Imports: dplyr, magrittr, lwgeom, spdep, sf, stringr, tidyselect (>=
1.0.0), tmap
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-17 17:46:03 UTC; MeganBrodzik
Author: Megan Brodzik [cre, aut],
Cecilia Depman [aut],
Sara Hodges [aut]
Maintainer: Megan Brodzik <megan@edbuild.org>
Repository: CRAN
Date/Publication: 2020-03-20 13:30:02 UTC