Showing 9 of total 9 results (show query)
thomasp85
curry:Partial Function Application and Currying with %<%, %-<%, %><%, and %<!%
Partial application is the process of reducing the arity of a function by fixing one or more arguments, thus creating a new function lacking the fixed arguments. The curry package provides three different ways of performing partial function application by fixing arguments from either end of the argument list (currying and tail currying) or by fixing multiple named arguments (partial application). This package provides this functionality through the %<%, %-<%, and %><% operators which allows for a programming style comparable to modern functional languages. Compared to other implementations such a purrr::partial() the operators in curry composes functions with named arguments, aiding in autocomplete etc.
Maintained by Thomas Lin Pedersen. Last updated 8 years ago.
66.0 match 30 stars 4.61 score 27 scripts
egnha
nofrills:Low-Cost Anonymous Functions
Provides a compact variation of the usual syntax of function declaration, in order to support tidyverse-style quasiquotation of a function's arguments and body.
Maintained by Eugene Ha. Last updated 3 years ago.
anonymous-functionscurryinglambda-functionspartial-functionsquasiquotation
15.3 match 40 stars 4.30 score 7 scripts
klutometis
functional:Curry, Compose, and other higher-order functions
Curry, Compose, and other higher-order functions
Maintained by Peter Danenberg. Last updated 11 years ago.
8.2 match 1 stars 4.57 score 157 scripts 9 dependents
cran
timeDate:Rmetrics - Chronological and Calendar Objects
The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
Maintained by Georgi N. Boshnakov. Last updated 6 months ago.
3.0 match 1 stars 9.25 score 944 scripts 708 dependents
ddsjoberg
gtsummary:Presentation-Ready Data Summary and Analytic Result Tables
Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Maintained by Daniel D. Sjoberg. Last updated 5 days ago.
easy-to-usegthtml5regression-modelsreproducibilityreproducible-researchstatisticssummary-statisticssummary-tablestable1tableone
1.5 match 1.1k stars 17.00 score 8.2k scripts 15 dependents
edcurry
LCA:Localised Co-Dependency Analysis
Performs model fitting and significance estimation for Localised Co-Dependency between pairs of features of a numeric dataset.
Maintained by Ed Curry. Last updated 6 years ago.
9.4 match 2.00 score 4 scripts
ss3sim
ss3sim:Fisheries Stock Assessment Simulation Testing with Stock Synthesis
A framework for fisheries stock assessment simulation testing with Stock Synthesis (SS3) as described in Anderson et al. (2014) <doi:10.1371/journal.pone.0092725>.
Maintained by Kelli F. Johnson. Last updated 5 months ago.
fisheriessimulationstock-synthesis
1.5 match 39 stars 8.89 score 149 scripts
genie-bpc
genieBPC:Project GENIE BioPharma Collaborative Data Processing Pipeline
The American Association Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) BioPharma Collaborative represents a multi-year, multi-institution effort to build a pan-cancer repository of linked clinico-genomic data. The genomic and clinical data are provided in multiple releases (separate releases for each cancer cohort with updates following data corrections), which are stored on the data sharing platform 'Synapse' <https://www.synapse.org/>. The 'genieBPC' package provides a seamless way to obtain the data corresponding to each release from 'Synapse' and to prepare datasets for analysis.
Maintained by Jessica A. Lavery. Last updated 8 months ago.
1.5 match 9 stars 7.57 score 26 scripts
asalavaty
influential:Identification and Classification of the Most Influential Nodes
Contains functions for the classification and ranking of top candidate features, reconstruction of networks from adjacency matrices and data frames, analysis of the topology of the network and calculation of centrality measures, and identification of the most influential nodes. Also, a function is provided for running SIRIR model, which is the combination of leave-one-out cross validation technique and the conventional SIR model, on a network to unsupervisedly rank the true influence of vertices. Additionally, some functions have been provided for the assessment of dependence and correlation of two network centrality measures as well as the conditional probability of deviation from their corresponding means in opposite direction. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The igraph software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document.
Maintained by Adrian Salavaty. Last updated 5 months ago.
centrality-measuresclassification-modelinfluence-rankingnetwork-analysispriaritization-model
1.6 match 27 stars 6.54 score 43 scripts 1 dependents