R-universe search: topic:performance

Showing 7 of total 7 results (show query)

henrikbengtsson

matrixStats:Functions that Apply to Rows and Columns of Matrices (and to Vectors)

High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().

Maintained by Henrik Bengtsson. Last updated 3 months ago.

matrix performance vector

208 stars 18.09 score 20k scripts 2.3k dependents

easystats

performance:Assessment of Regression Models Performance

Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.

Maintained by Daniel Lüdecke. Last updated 11 hours ago.

aic easystats hacktoberfest loo machine-learning mixed-models models performance r2 statistics

1.1k stars 16.20 score 4.3k scripts 48 dependents

exaexa

scattermore:Scatterplots with More Points

C-based conversion of large scatterplot data to rasters plus other operations such as data blurring or data alpha blending. Speeds up plotting of data with millions of points.

Maintained by Mirek Kratochvil. Last updated 1 years ago.

performance plot scatterplot visualization cpp

244 stars 11.95 score 596 scripts 85 dependents

tidyverse

duckplyr:A 'DuckDB'-Backed Version of 'dplyr'

A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance. Offers convenient utilities for working with in-memory and larger-than-memory data while retaining full 'dplyr' compatibility.

Maintained by Kirill Müller. Last updated 2 hours ago.

analytics dataframe dplyr duckdb performance

315 stars 11.15 score 220 scripts

henrikbengtsson

profmem:Simple Memory Profiling for R

A simple and light-weight API for memory profiling of R expressions. The profiling is built on top of R's built-in memory profiler ('utils::Rprofmem()'), which records every memory allocation done by R (also native code).

Maintained by Henrik Bengtsson. Last updated 4 years ago.

memory-profiler performance ram

36 stars 9.18 score 141 scripts 11 dependents

mayer79

MetricsWeighted:Weighted Metrics and Performance Measures for Machine Learning

Provides weighted versions of several metrics and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.

Maintained by Michael Mayer. Last updated 8 months ago.

machine-learning metrics performance statistics

11 stars 6.79 score 75 scripts 5 dependents

eddelbuettel

ldlasb:Lies, Damned Lies, and Selective Benchmarks

Correcting two very selectively chosen benchmarks in order to set a record straight.

Maintained by Dirk Eddelbuettel. Last updated 4 years ago.

benchmarking performance rcpp cpp

6 stars 2.48 score 3 scripts