dloewenstein
by dloewenstein
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| Name | Latest Version | Summary | Updated | License |
|---|
| r-adaptmcmc | 1.3 | Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) <DOI:10.1007/s11222-011-9269-5> and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate. | Mar 25, 2025 | GPL-2 |
| r-agricolae | 1.3_0 | Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster. | Mar 25, 2025 | GPL |
| r-aleplot | 1.1 | Visualizes the main effects of individual predictor variables and their second-order interaction effects in black-box supervised learning models. The package creates either Accumulated Local Effects (ALE) plots and/or Partial Dependence (PD) plots, given a fitted supervised learning model. | Mar 25, 2025 | GPL-2 |
| r-algdesign | 1.1_7.3 | Algorithmic experimental designs. Calculates exact and approximate theory experimental designs for D,A, and I criteria. Very large designs may be created. Experimental designs may be blocked or blocked designs created from a candidate list, using several criteria. The blocking can be done when whole and within plot factors interact. | Mar 25, 2025 | GPL (>= 2) |
| r-bbmisc | 1.11 | Miscellaneous helper functions for and from B. Bischl and some other guys, mainly for package development. | Mar 25, 2025 | BSD_2_clause + file LICENSE |
| r-best | 0.5.1 | An alternative to t-tests, producing posterior estimates for group means and standard deviations and their differences and effect sizes. | Mar 25, 2025 | GPL (>= 3) |
| r-bookdown | 0.7 | Output formats and utilities for authoring books and technical documents with R Markdown. | Mar 25, 2025 | GPL-3 |
| r-breakdown | 0.1.6 | Model agnostic tool for decomposition of predictions from black boxes. Break Down Table shows contributions of every variable to a final prediction. Break Down Plot presents variable contributions in a concise graphical way. This package work for binary classifiers and general regression models. | Mar 25, 2025 | GPL-2 |
| r-calibrationcurves | 0.1.2 | Plots calibration curves and computes statistics for assessing calibration performance. | Mar 25, 2025 | GPL (>= 2) |
| r-clime | 0.4.1 | A robust constrained L1 minimization method for estimating a large sparse inverse covariance matrix (aka precision matrix), and recovering its support for building graphical models. The computation uses linear programming. | Mar 25, 2025 | GPL-2 |
| r-clipr | 0.5.0 | Simple utility functions to read from and write to the Windows, OS X, and X11 clipboards. | Mar 25, 2025 | GPL-3 |
| r-clisymbols | 1.2.0 | A small subset of Unicode symbols, that are useful when building command line applications. They fall back to alternatives on terminals that do not support Unicode. Many symbols were taken from the 'figures' 'npm' package (see <https://github.com/sindresorhus/figures>). | Mar 25, 2025 | MIT + file LICENSE |
| r-cmprsk | 2.2_7 | Estimation, testing and regression modeling of subdistribution functions in competing risks, as described in Gray (1988), A class of K-sample tests for comparing the cumulative incidence of a competing risk, Ann. Stat. 16:1141-1154, and Fine JP and Gray RJ (1999), A proportional hazards model for the subdistribution of a competing risk, JASA, 94:496-509. | Mar 25, 2025 | GPL (>= 2) |
| r-coda | 0.19_4 | Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the equilibrium distribution of the Markov chain. | Mar 25, 2025 | GPL-2 |
| r-codetools | 0.2_18 | Code analysis tools for R. | Mar 25, 2025 | GPL-3 |
| r-colorramps | 2.3 | Builds gradient color maps | Mar 25, 2025 | GPL |
| r-combinat | 0.0_8 | routines for combinatorics | Mar 25, 2025 | GPL-2 |
| r-corrplot | 0.84 | A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc. | Mar 25, 2025 | GPL |
| r-covr | 3.2.1 | Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code. | Mar 25, 2025 | GPL-3 |
| r-cowplot | 0.9.3 | Some helpful extensions and modifications to the 'ggplot2' package. In particular, this package makes it easy to combine multiple 'ggplot2' plots into one and label them with letters, e.g. A, B, C, etc., as is often required for scientific publications. The package also provides a streamlined and clean theme that is used in the Wilke lab, hence the package name, which stands for Claus O. Wilke's plot package. | Mar 25, 2025 | GPL-2 |
| r-cutpointr | 1.0.0 | Estimate cutpoints that optimize a specified metric in binary classification tasks and validate performance using bootstrapping. Some methods for more robust cutpoint estimation and various plotting functions are included. | Mar 25, 2025 | GPL-3 |
| r-dagitty | 0.2_2 | A port of the web-based software 'DAGitty', available at <http://dagitty.net>, for analyzing structural causal models (also known as directed acyclic graphs or DAGs). This package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications (d-separation and vanishing tetrads), generates equivalent models, and includes a simple facility for data simulation. | Mar 25, 2025 | GPL-2 |
| r-dalex | 0.2.6 | Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance, but such black-box models usually lack of interpretability. DALEX package contains various explainers that help to understand the link between input variables and model output. The single_variable() explainer extracts conditional response of a model as a function of a single selected variable. It is a wrapper over packages 'pdp' and 'ALEPlot'. The single_prediction() explainer attributes parts of a model prediction to particular variables used in the model. It is a wrapper over 'breakDown' package. The variable_dropout() explainer calculates variable importance scores based on variable shuffling. All these explainers can be plotted with generic plot() function and compared across different models. | Mar 25, 2025 | GPL |
| r-datapackager | 0.15.7 | A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual R CMD build process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled in github, and used to share data for manuscripts, collaboration and general reproducibility. | Mar 25, 2025 | MIT + file LICENSE |
| r-date | 1.2_38 | Functions for handling dates. | Mar 25, 2025 | GPL-2 |