Showing 5 of total 5 results (show query)
tidyverse
dplyr:A Grammar of Data Manipulation
A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Maintained by Hadley Wickham. Last updated 26 days ago.
4.8k stars 24.68 score 659k scripts 7.8k dependentstidyverse
tibble:Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional data frame.
Maintained by Kirill Müller. Last updated 10 days ago.
693 stars 22.85 score 47k scripts 11k dependents
r-lib
vctrs:Vector Helpers
Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Maintained by Davis Vaughan. Last updated 5 months ago.
292 stars 19.01 score 1.1k scripts 13k dependents
netcoupler
NetCoupler:Inference of Causal Links Between a Network and an External Variable
The 'NetCoupler' algorithm identifies potential direct effects of correlated, high-dimensional variables formed as a network with an external variable. The external variable may act as the dependent/response variable or as an independent/predictor variable to the network.
Maintained by Luke Johnston. Last updated 1 years ago.
6 stars 4.78 score 7 scripts
activeanalytics
bigReg:Generalized Linear Models (GLM) for Large Data Sets
Allows the user to carry out GLM on very large data sets. Data can be created using the data_frame() function and appended to the object with object$append(data); data_frame and data_matrix objects are available that allow the user to store large data on disk. The data is stored as doubles in binary format and any character columns are transformed to factors and then stored as numeric (binary) data while a look-up table is stored in a separate .meta_data file in the same folder. The data is stored in blocks and GLM regression algorithm is modified and carries out a MapReduce- like algorithm to fit the model. The functions bglm(), and summary() and bglm_predict() are available for creating and post-processing of models. The library requires Armadillo installed on your system. It probably won't function on windows since multi-core processing is done using mclapply() which forks R on Unix/Linux type operating systems.
Maintained by Chibisi Chima-Okereke. Last updated 9 years ago.
big-datadata-framegeneralized-linear-modelsopenblascpp
1 stars 2.00 score 3 scripts