Showing 12 of total 12 results (show query)
elipousson
mapmaryland:Easy Access to Maryland Spatial Data
A small collection of data sources and utility functions for working with state and county data sources in Maryland.
Maintained by Eli Pousson. Last updated 5 months ago.
90.9 match 3 stars 2.48 score 4 scriptselipousson
mapbaltimore:Make maps for Baltimore City with open data
This package provides data from the Baltimore City, the state of Maryland, and other sources, functions to access additional data, and function to create and modify simple maps of Baltimore neighborhoods using sf and ggplot2.
Maintained by Eli Pousson. Last updated 4 months ago.
41.7 match 17 stars 3.85 score 14 scriptselipousson
marylandedu:Maryland State Department of Education Data
The marylandedu package provides access to selected datasets from the Maryland State Department of Education (MSDE) that have been standardized to better support year-by-year analysis and visualization.
Maintained by Eli Pousson. Last updated 1 years ago.
31.9 match 1 stars 1.70 score
alanarnholt
BSDA:Basic Statistics and Data Analysis
Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.
Maintained by Alan T. Arnholt. Last updated 2 years ago.
3.4 match 7 stars 9.11 score 1.3k scripts 6 dependents
jefferislab
RANN:Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.
Maintained by Gregory Jefferis. Last updated 7 months ago.
ann-librarynearest-neighborsnearest-neighbourscpp
2.3 match 58 stars 12.21 score 1.3k scripts 190 dependents
jandraor
readsdr:Translate Models from System Dynamics Software into 'R'
The goal of 'readsdr' is to bridge the design capabilities from specialised System Dynamics software with the powerful numerical tools offered by 'R' libraries. The package accomplishes this goal by parsing 'XMILE' files ('Vensim' and 'Stella') models into 'R' objects to construct networks (graph theory); 'ODE' functions for 'Stan'; and inputs to simulate via 'deSolve' as described in Duggan (2016) <doi:10.1007/978-3-319-34043-2>.
Maintained by Jair Andrade. Last updated 10 months ago.
3.8 match 19 stars 6.62 score 62 scripts
dtkaplan
LSTbook:Data and Software for "Lessons in Statistical Thinking"
"Lessons in Statistical Thinking" D.T. Kaplan (2014) <https://dtkaplan.github.io/Lessons-in-statistical-thinking/> is a textbook for a first or second course in statistics that embraces data wrangling, causal reasoning, modeling, statistical adjustment, and simulation. 'LSTbook' supports the student-centered, tidy, pipeline-oriented computing style featured in the book.
Maintained by Daniel Kaplan. Last updated 1 days ago.
3.4 match 4 stars 6.29 score 27 scripts
cran
PracTools:Designing and Weighting Survey Samples
Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Maintained by Richard Valliant. Last updated 9 months ago.
4.0 match 1 stars 4.48 score 101 scripts 1 dependentselipousson
baltimoredata:Access Updated and Historic Data on Baltimore City, Maryland
This package provides access to a small number of spatial and nonspatial datasets related to Baltimore City, Maryland.
Maintained by Eli Pousson. Last updated 8 months ago.
6.9 match 2.40 score 2 scripts
cran
svydiags:Regression Model Diagnostics for Survey Data
Diagnostics for fixed effects linear and general linear regression models fitted with survey data. Extensions of standard diagnostics to complex survey data are included: standardized residuals, leverages, Cook's D, dfbetas, dffits, condition indexes, and variance inflation factors as found in Li and Valliant (Surv. Meth., 2009, 35(1), pp. 15-24; Jnl. of Off. Stat., 2011, 27(1), pp. 99-119; Jnl. of Off. Stat., 2015, 31(1), pp. 61-75); Liao and Valliant (Surv. Meth., 2012, 38(1), pp. 53-62; Surv. Meth., 2012, 38(2), pp. 189-202). Variance inflation factors and condition indexes are also computed for some general linear models as described in Liao (U. Maryland thesis, 2010).
Maintained by Richard Valliant. Last updated 4 months ago.
0.5 match 1 stars 2.10 score 21 scripts