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r-listviewer
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R lists, especially nested lists, can be very difficult to visualize or represent. Sometimes 'str()' is not enough, so this suite of htmlwidgets is designed to help see, understand, and maybe even modify your R lists. The function 'reactjson()' requires a package 'reactR' that can be installed from CRAN or <https://github.com/timelyportfolio/reactR>.
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2024-01-16 |
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r-lm.beta
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public |
Adds standardized regression coefficients to objects created by 'lm'. Also extends the S3 methods 'print', 'summary' and 'coef' with additional boolean argument 'standardized' and provides 'xtable'-support.
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2024-01-16 |
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r-liureg
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public |
Linear Liu regression coefficient's estimation and testing with different Liu related measures such as MSE, R-squared etc. REFERENCES i. Akdeniz and Kaciranlar (1995) <doi:10.1080/03610929508831585> ii. Druilhet and Mom (2008) <doi:10.1016/j.jmva.2006.06.011> iii. Imdadullah, Aslam, and Saima (2017) iv. Liu (1993) <doi:10.1080/03610929308831027> v. Liu (2001) <doi:10.1016/j.jspi.2010.05.030>.
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2024-01-16 |
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r-listwithdefaults
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Provides a function that, as an alternative to base::list, allows default values to be inherited from another list.
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2024-01-16 |
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r-listest
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public |
Tests for independence between X and Y computed from a paired sample (x1,y1),...(xn,yn) of (X,Y), using one of the following statistics (a) the Longest Increasing Subsequence (Ln), (b) JLn, a Jackknife version of Ln or (c) JLMn, a Jackknife version of the longest monotonic subsequence. This family of tests can be applied under the assumption of continuity of X and Y.
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2024-01-16 |
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r-listenv
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public |
List environments are environments that have list-like properties. For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'.
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2024-01-16 |
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r-listarrays
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A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.
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2024-01-16 |
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r-lisreltor
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public |
This is an unofficial package aimed at automating the import of 'LISREL' <https://ssicentral.com/index.php/products/lisrel/> output in R. This package or its maintainer is not in any way affiliated with the creators of 'LISREL' and 'SSI, Inc'.
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2024-01-16 |
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r-lisa
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public |
Contains 128 palettes from Color Lisa. All palettes are based on masterpieces from the worlds greatest artists. For more information, see <http://colorlisa.com/>.
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2024-01-16 |
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r-lintr
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Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.
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2024-01-16 |
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r-link2gi
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public |
Functions to simplify the linking of open source GIS and remote sensing related command line interfaces.
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2024-01-16 |
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r-linselect
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public |
Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators, following the method developed by Y. Baraud, C. Giraud and S. Huet (2014) <doi:10.1214/13-AIHP539>. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
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2024-01-16 |
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r-linreginteractive
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public |
Interactive visualization of effects, response functions and marginal effects for different kinds of regression models. In this version linear regression models, generalized linear models, generalized additive models and linear mixed-effects models are supported. Major features are the interactive approach and the handling of the effects of categorical covariates: if two or more factors are used as covariates every combination of the levels of each factor is treated separately. The automatic calculation of marginal effects and a number of possibilities to customize the graphical output are useful features as well.
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2024-01-16 |
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r-likert
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public |
An approach to analyzing Likert response items, with an emphasis on visualizations. The stacked bar plot is the preferred method for presenting Likert results. Tabular results are also implemented along with density plots to assist researchers in determining whether Likert responses can be used quantitatively instead of qualitatively. See the likert(), summary.likert(), and plot.likert() functions to get started.
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2024-01-16 |
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r-linprog
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public |
Can be used to solve Linear Programming / Linear Optimization problems by using the simplex algorithm.
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2024-01-16 |
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r-linpk
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public |
Generate concentration-time profiles from linear pharmacokinetic (PK) systems, possibly with first-order absorption or zero-order infusion, possibly with one or more peripheral compartments, and possibly under steady-state conditions. Single or multiple doses may be specified. Secondary (derived) PK parameters (e.g. Cmax, Ctrough, AUC, Tmax, half-life, etc.) are computed.
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2024-01-16 |
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r-linl
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A 'LaTeX' Letter class for 'rmarkdown', using the 'pandoc-letter' template adapted for use with 'markdown'.
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2024-01-16 |
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r-lindia
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Provides a set of streamlined functions that allow easy generation of linear regression diagnostic plots necessarily for checking linear model assumptions. This package is meant for easy scheming of linear regression diagnostics, while preserving merits of "The Grammar of Graphics" as implemented in 'ggplot2'. See the 'ggplot2' website for more information regarding the specific capability of graphics.
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2024-01-16 |
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r-linkedmatrix
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public |
A class that links matrix-like objects (nodes) by rows or by columns while behaving similarly to a base R matrix. Very large matrices are supported if the nodes are file-backed matrices.
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2024-01-16 |
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r-lightr
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public |
Parse various reflectance/transmittance/absorbance spectra file formats to extract spectral data and metadata, as described in Gruson, White & Maia (2019) <doi:10.21105/joss.01857>. Among other formats, it can import files from 'Avantes' <https://www.avantes.com/>, 'CRAIC' <https://www.microspectra.com/>, and 'OceanInsight' (formerly 'OceanOptics') <https://www.oceaninsight.com/> brands.
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2024-01-16 |
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r-linearregressionmde
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Consider linear regression model Y = Xb + error where the distribution function of errors is unknown, but errors are independent and symmetrically distributed. The package contains a function named LRMDE which takes Y and X as input and returns minimum distance estimator of parameter b in the model.
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2024-01-16 |
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r-lic
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The LIC criterion is to determine the most informative subsets so that the subset can retain most of the information contained in the complete data. The philosophy of the package is described in Guo G. (2022) <doi:10.1080/02664763.2022.2053949>.
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2024-01-16 |
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r-lindenmayer
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L-systems or Lindenmayer systems are parallel rewriting systems which can be used to simulate biological forms and certain kinds of fractals. Briefly, in an L-system a series of symbols in a string are replaced iteratively according to rules to give a more complex string. Eventually, the symbols are translated into turtle graphics for plotting. Wikipedia has a very good introduction: en.wikipedia.org/wiki/L-system This package provides basic functions for exploring L-systems.
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2024-01-16 |
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r-lincal
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Estimate and confidence/credible intervals for an unknown regressor x0 given an observed y0.
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2024-01-16 |
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r-linbin
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Short for 'linear binning', the linbin package provides functions for manipulating, binning, and plotting linearly referenced data. Although developed for data collected on river networks, it can be used with any interval or point data referenced to a 1-dimensional coordinate system. Flexible bin generation and batch processing makes it easy to compute and visualize variables at multiple scales, useful for identifying patterns within and between variables and investigating the influence of scale of observation on data interpretation.
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2024-01-16 |
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r-likelihoodexplore
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public |
Provides likelihood functions as defined by Fisher (1922) <doi:10.1098/rsta.1922.0009> and a function that creates likelihood functions from density functions. The functions are meant to aid in education of likelihood based methods.
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2024-01-16 |
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r-lgcp
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public |
Spatial and spatio-temporal modelling of point patterns using the log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal, multivariate and aggregated point processes using Markov chain Monte Carlo. See Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2015) <doi:10.18637/jss.v063.i07>.
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2024-01-16 |
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r-likelihood
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public |
Tools for maximum likelihood estimation of parameters of scientific models. Based on Goffe et al (1994) <doi:10.1016/0304-4076(94)90038-8>.
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2024-01-16 |
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r-lightsout
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Lights Out is a puzzle game consisting of a grid of lights that are either on or off. Pressing any light will toggle it and its adjacent lights. The goal of the game is to switch all the lights off. This package provides an interface to play the game on different board sizes, both through the command line or with a visual application. Puzzles can also be solved using the automatic solver included. View a demo online at <https://daattali.com/shiny/lightsout/>.
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2024-01-16 |
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r-lightningr
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The purpose of this package is to enable usage of lightningviz server to be accessible from R. The server itself can be found at http://lightning-viz.org/ and is required to work with this package. Package by itself cannot and will not create any visualizations.
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2024-01-16 |
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r-liftr
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public |
Persistent reproducible reporting by containerization of R Markdown documents.
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2024-01-16 |
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r-lifecycle
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public |
Manage the life cycle of your exported functions with shared conventions, documentation badges, and user-friendly deprecation warnings.
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2024-01-16 |
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r-librarysnapshot
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public |
Generate a local library copy with relevant packages. All packages currently found within the search path - except base packages - will be copied to the directory provided and can be used later on with the .libPaths() function.
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2024-01-16 |
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r-librarian
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public |
Automatically install, update, and load 'CRAN', 'GitHub', and 'Bioconductor' packages in a single function call. By accepting bare unquoted names for packages, it's easy to add or remove packages from the list.
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2024-01-16 |
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r-lfda
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public |
Functions for performing and visualizing Local Fisher Discriminant Analysis(LFDA), Kernel Fisher Discriminant Analysis(KLFDA), and Semi-supervised Local Fisher Discriminant Analysis(SELF).
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2024-01-16 |
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r-lexisnexistools
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public |
My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the 'LexisNexis' newspaper archive (retrieved e.g., from <https://www.lexisnexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes files downloaded from the newspaper archive of 'LexisNexis', reads them into R and offers functions for further processing.
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2024-01-16 |
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r-lhmixr
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public |
Fits sex-specific life-history models for fish and other taxa where some of the individuals have unknown sex.
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2024-01-16 |
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r-lgtdl
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public |
A very simple implementation of a class for longitudinal data.
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2024-01-16 |
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r-lgrdata
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public |
A largish collection of example datasets, including several classics. Many of these datasets are well suited for regression, classification, and visualization.
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2024-01-16 |
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r-lgr
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public |
A flexible, feature-rich yet light-weight logging framework based on 'R6' classes. It supports hierarchical loggers, custom log levels, arbitrary data fields in log events, logging to plaintext, 'JSON', (rotating) files, memory buffers. For extra appenders that support logging to databases, email and push notifications see the the package lgr.app.
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2024-01-16 |
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r-lfdrempiricalbayes
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public |
New empirical Bayes methods aiming at analyzing the association of single nucleotide polymorphisms (SNPs) to some particular disease are implemented in this package. The package uses local false discovery rate (LFDR) estimates of SNPs within a sample population defined as a "reference class" and discovers if SNPs are associated with the corresponding disease. Although SNPs are used throughout this document, other biological data such as protein data and other gene data can be used. Karimnezhad, Ali and Bickel, D. R. (2016) <http://hdl.handle.net/10393/34889>.
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2024-01-16 |
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r-lfdr.mle
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public |
Suite of R functions for the estimation of the local false discovery rate (LFDR) using Type II maximum likelihood estimation (MLE).
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2024-01-16 |
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r-lexicon
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public |
A collection of lexical hash tables, dictionaries, and word lists.
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2024-01-16 |
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r-lessr
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public |
Each function accomplishes the work of multiple standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for comprehensive summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, and Trellis graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering o regression instructions for interpretative output, and interactive visualizations.
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2024-01-16 |
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r-lfactors
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public |
Provides an extension to factors called 'lfactor' that are similar to factors but allows users to refer to 'lfactor' levels by either the level or the label.
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2024-01-16 |
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r-lexiconpt
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public |
Provides easy access for sentiment lexicons for those who want to do text analysis in Portuguese texts. As of now, two Portuguese lexicons are available: 'SentiLex-PT02' and 'OpLexicon' (v2.1 and v3.0).
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2024-01-16 |
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r-lemon
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Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.
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2024-01-16 |
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r-learningstats
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Provides tools to teach students elemental statistics. The main topics covered are descriptive statistics, probability models (discrete and continuous variables) and statistical inference (confidence intervals and hypothesis tests). One of the main advantages of this package is that allows the user to read quite a variety of types of data files with one unique command. Moreover it includes shortcuts to simple but up-to-now not in R descriptive features such a complete frequency table or an histogram with the optimal number of intervals. Related to model distributions (both discrete and continuous), the package allows the student to easy plot the mass/density function, distribution function and quantile function just detailing as input arguments the known population parameters. The inference related tools are basically confidence interval and hypothesis testing. Having defined independent commands for these two tools makes it easier for the student to understand what the software is performing, and it also helps the student to have a better knowledge on which specific tool they need to use in each situation. Moreover, the hypothesis testing commands provide not only the numeric result on the screen but also a very intuitive graph (which includes the statistic distribution, the observed value of the statistic, the rejection area and the p-value) that is very useful for the student to visualise the process. The regression section includes up to now, a simple linear model, with one single command the student can obtain the numeric summary as well as the corresponding diagram with the adjusted regression model and a legend with basic information (formula of the adjusted model and R-squared).
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2024-01-16 |
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r-lestat
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public |
Some simple objects and functions to do statistics using linear models and a Bayesian framework.
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2024-01-16 |
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r-lero.lero
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Generates quotes from 'Lero Lero', a database for meaningless sentences filled with corporate buzzwords, intended to be used as corporate lorem ipsum (see <http://www.lerolero.com/> for more information). Unfortunately, quotes are currently portuguese-only.
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2024-01-16 |
