igraph, geosphere, grDevices, graphics, stats, utils

A Comprehensive Set of Functions to Clean, Analyze, and Present
Crime Data
person("Jacob", "Kaplan",
email = "jkkaplan6@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-0601-0387"))
A collection of functions that make it easier to understand crime (or other)
data, and assist others in understanding it. The package helps you read data
from various sources, clean it, fix column names, and graph the data.
dplyr, ggplot2, gridExtra, scales, magrittr, gt, grDevices,
tidyr, stats, data.table, lubridate, janitor

dplyr, ggplot2, gridExtra, scales, magrittr, gt, grDevices,
tidyr, stats, methods

dplyr, ggplot2, readr, gridExtra, scales, magrittr, gt,
grDevices, tidyr, stats, methods, rlang

Fits a Model that Partitions the Covariate Space into Blocks in
a Data- Adaptive Way
Implements convex regression with interpretable sharp partitions
(CRISP), which considers the problem of predicting an outcome variable on the basis of two covariates, using an interpretable yet non-additive model. CRISP partitions the covariate space into blocks in a data-adaptive way, and fits a mean model within each block. Unlike other partitioning methods, CRISP is fit using a non-greedy approach by solving a convex optimization problem, resulting in low-variance fits. More details are provided in Petersen, A., Simon, N., and Witten, D. (2016). Convex Regression with Interpretable Sharp Partitions. Journal of Machine Learning Research, 17(94): 1-31 <http://jmlr.org/papers/volume17/15-344/15-344.pdf>.
Matrix, MASS, stats, methods, grDevices, graphics

c(
person("Dylan", "Beeber", email = "dylan.beeber@gmail.com", role = c("aut", "cre")),
person("Frederic", "Chain", role = "aut"))
Designs guide sequences for CRISPR/Cas9 genome editing and
provides information on sequence features pertinent to guide
efficiency. Sequence features include annotated off-target
predictions in a user-selected genome and a predicted efficiency
score based on the model described in Doench et al. (2016)
<doi:10.1038/nbt.3437>. Users are able to import additional genomes
and genome annotation files to use when searching and annotating
off-target hits. All guide sequences and off-target data can be
generated through the 'R' console with sgRNA_Design() or through
'crispRdesignR's' user interface with crispRdesignRUI(). CRISPR
(Clustered Regularly Interspaced Short Palindromic Repeats) and the
associated protein Cas9 refer to a technique used in genome editing.
Biostrings, gbm, GenomicRanges, BiocGenerics, IRanges,
GenomeInfoDb, S4Vectors, rtracklayer, stringr, vtreat, shiny,
DT
Dylan Beeber [aut, cre],
Frederic Chain [aut]