|
r-tidycmprsk
|
public |
Provides an intuitive interface for working with the competing risk endpoints. The package wraps the 'cmprsk' package, and exports functions for univariate cumulative incidence estimates and competing risk regression. Methods follow those introduced in Fine and Gray (1999) <doi:10.1002/sim.7501>.
|
2024-01-16 |
|
r-tidycensus
|
public |
An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
|
2024-01-16 |
|
r-tidycpp
|
public |
Core parts of the C API of R are wrapped in a C++ namespace via a set of inline functions giving a tidier representation of the underlying data structures and functionality using a header-only implementation without additional dependencies.
|
2024-01-16 |
|
r-tidyclust
|
public |
A common interface to specifying clustering models, in the same style as 'parsnip'. Creates unified interface across different functions and computational engines.
|
2024-01-16 |
|
r-tidybayes
|
public |
Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.
|
2024-01-16 |
|
r-tidetables
|
public |
Tide analysis and prediction of predominantly semi-diurnal tides with two high waters and two low waters during one lunar day (~24.842 hours, ~1.035 days). The analysis should preferably cover an observation period of at least 19 years. For shorter periods, for example, the nodal cycle can not be taken into account, which particularly affects the height calculation. The main objective of this package is to produce tide tables.
|
2024-01-16 |
|
r-tides
|
public |
Calculate Characteristics of Quasi-Periodic Time Series, e.g. Estuarine Water Levels.
|
2024-01-16 |
|
r-tideharmonics
|
public |
Implements harmonic analysis of tidal and sea-level data. Over 400 harmonic tidal constituents can be estimated, all with daily nodal corrections. Time-varying mean sea-levels can also be used.
|
2024-01-16 |
|
r-tictoc
|
public |
Code execution timing functions 'tic' and 'toc' that can be nested. One can record all timings while a complex script is running, and examine the values later. It is also possible to instrument the timing calls with custom callbacks. In addition, this package provides class 'Stack', implemented as a vector, and class 'StackList', which is a stack implemented as a list, both of which support operations 'push', 'pop', 'first_element', 'last_element' and 'clear'.
|
2024-01-16 |
|
r-thresholdroc
|
public |
Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.
|
2024-01-16 |
|
r-thregi
|
public |
Fit a threshold regression model for Interval Censored Data based on the first-hitting-time of a boundary by the sample path of a Wiener diffusion process. The threshold regression methodology is well suited to applications involving survival and time-to-event data.
|
2024-01-16 |
|
r-threg
|
public |
Fit a threshold regression model based on the first-hitting-time of a boundary by the sample path of a Wiener diffusion process. The threshold regression methodology is well suited to applications involving survival and time-to-event data.
|
2024-01-16 |
|
r-threewords
|
public |
A connector to the 'What3Words' (http://what3words.com/) service, which represents each 3m by 3m square on earth with a unique trio of English-language words.
|
2024-01-16 |
|
r-threeway
|
public |
Component analysis for three-way data arrays by means of Candecomp/Parafac, Tucker3, Tucker2 and Tucker1 models.
|
2024-01-16 |
|
r-threejs
|
None |
Create interactive 3D scatter plots, network plots, and globes using the 'three.js' visualization library (<https://threejs.org>).
|
2024-01-16 |
|
r-thematic
|
public |
Theme 'ggplot2', 'lattice', and 'base' graphics based on a few choices, including foreground color, background color, accent color, and font family. Fonts that aren't available on the system, but are available via download on 'Google Fonts', can be automatically downloaded, cached, and registered for use with the 'showtext' and 'ragg' packages.
|
2024-01-16 |
|
r-threegroups
|
public |
Implements the Maximum Likelihood estimator for baseline, placebo, and treatment groups (three-group) experiments with non-compliance proposed by Gerber, Green, Kaplan, and Kern (2010).
|
2024-01-16 |
|
r-thief
|
public |
Methods and tools for generating forecasts at different temporal frequencies using a hierarchical time series approach.
|
2024-01-16 |
|
r-themis
|
public |
A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <arXiv:1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the number of majority cases using NearMiss 2003 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.
|
2024-01-16 |
|
r-thermocouple
|
public |
Temperature measurement data, equations and methods for thermocouples, wire RTD, thermistors, IC thermometers, bimetallic strips and the ITS-90.
|
2024-01-16 |
|
r-thermindex
|
public |
Calculates several thermal comfort indexes using temperature, wind speed and relative humidity values, calculating indexes such as Humidex, windchill, Discomfort Index and others.
|
2024-01-16 |
|
r-tfplot
|
public |
Utilities for simple manipulation and quick plotting of time series data. These utilities use the 'tframe' package which provides a programming kernel for time series. Extensions to 'tframe' provided in 'tframePlus' can also be used. See the Guide vignette for examples.
|
2024-01-16 |
|
r-tfisher
|
public |
We provide the cumulative distribution function (CDF), quantile, and statistical power calculator for a collection of thresholding Fisher's p-value combination methods, including Fisher's p-value combination method, truncated product method and, in particular, soft-thresholding Fisher's p-value combination method which is proven to be optimal in some context of signal detection. The p-value calculator for the omnibus version of these tests are also included. For reference, please see Hong Zhang and Zheyang Wu. "TFisher Tests: Optimal and Adaptive Thresholding for Combining p-Values", submitted.
|
2024-01-16 |
|
r-th.data
|
None |
Contains data sets used in other packages Torsten Hothorn maintains.
|
2024-01-16 |
|
r-thankyoustars
|
public |
A tool for starring GitHub repositories.
|
2024-01-16 |
|
r-thankr
|
public |
Find out who maintains the packages you use in your current session or in your package library and maybe say 'thank you'.
|
2024-01-16 |
|
r-textstem
|
public |
Tools that stem and lemmatize text. Stemming is a process that removes endings such as affixes. Lemmatization is the process of grouping inflected forms together as a single base form.
|
2024-01-16 |
|
r-tgram
|
public |
Functions to compute and plot tracheidograms, as in De Soto et al. (2011) <doi:10.1139/x11-045>.
|
2024-01-16 |
|
r-tggd
|
public |
Density, distribution function, quantile function and random generation for the Truncated Generalised Gamma Distribution (also in log10(x) and ln(x) space).
|
2024-01-16 |
|
r-tfse
|
public |
A collection of useful tools for programming and writing-scripts. Several functions are simple wrappers around base R functions that extend their functionality while also providing some convenient properties–regular expression functions that automatically detect look-ahead and look-behind statements, a read-line function that suppresses incomplete-final-line warnings and automatically opens and closes connections, a version of substrings that starts from the end of strings, etc. Other functions are useful for checking whether packages are installed, omitting missing data, and showing in-use connections.
|
2024-01-16 |
|
r-tfruns
|
public |
Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.
|
2024-01-16 |
|
r-tframe
|
public |
A kernel of functions for programming time series methods in a way that is relatively independently of the representation of time. Also provides plotting, time windowing, and some other utility functions which are specifically intended for time series. See the Guide distributed as a vignette, or ?tframe.Intro for more details. (User utilities are in package tfplot.)
|
2024-01-16 |
|
r-tfer
|
public |
Statistical interpretation of forensic glass transfer (Simulation of the probability distribution of recovered glass fragments).
|
2024-01-16 |
|
r-tfdatasets
|
public |
Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.
|
2024-01-16 |
|
r-tfautograph
|
public |
Translate R control flow expressions into 'Tensorflow' graphs.
|
2024-01-16 |
|
r-textutils
|
public |
Utilities for handling character vectors that store human-readable text (either plain or with markup, such as HTML or LaTeX). The package provides, in particular, functions that help with the preparation of plain-text reports, e.g. for expanding and aligning strings that form the lines of such reports. The package also provides generic functions for transforming R objects to HTML and to plain text.
|
2024-01-16 |
|
r-textrank
|
public |
The 'textrank' algorithm is an extension of the 'Pagerank' algorithm for text. The algorithm allows to summarize text by calculating how sentences are related to one another. This is done by looking at overlapping terminology used in sentences in order to set up links between sentences. The resulting sentence network is next plugged into the 'Pagerank' algorithm which identifies the most important sentences in your text and ranks them. In a similar way 'textrank' can also be used to extract keywords. A word network is constructed by looking if words are following one another. On top of that network the 'Pagerank' algorithm is applied to extract relevant words after which relevant words which are following one another are combined to get keywords. More information can be found in the paper from Mihalcea, Rada & Tarau, Paul (2004) <https://www.aclweb.org/anthology/W04-3252/>.
|
2024-01-16 |
|
r-textshape
|
public |
Tools that can be used to reshape and restructure text data.
|
2024-01-16 |
|
r-textclean
|
public |
Tools to clean and process text. Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them (normalizing) with more analysis friendly substrings (see Sproat, Black, Chen, Kumar, Ostendorf, & Richards (2001) <doi:10.1006/csla.2001.0169>) or extracting them into new variables. For example, emoticons are often used in text but not always easily handled by analysis algorithms. The replace_emoticon() function replaces emoticons with word equivalents.
|
2024-01-16 |
|
r-textile
|
public |
Contains real images of the same textile material with/without local defects, which were used in Bui and Apley (2018) <doi:10.1080/00401706.2017.1302362>.
|
2024-01-16 |
|
r-textometry
|
public |
Statistical exploration of textual corpora using several methods from French 'Textometrie' (new name of 'Lexicometrie') and French 'Data Analysis' schools. It includes methods for exploring irregularity of distribution of lexicon features across text sets or parts of texts (Specificity analysis); multi-dimensional exploration (Factorial analysis), etc. Those methods are used in the TXM software.
|
2024-01-16 |
|
r-textcat
|
public |
Text categorization based on n-grams.
|
2024-01-16 |
|
r-textdata
|
public |
Provides a framework to download, parse, and store text datasets on the disk and load them when needed. Includes various sentiment lexicons and labeled text data sets for classification and analysis.
|
2024-01-16 |
|
r-textgrid
|
public |
The software application Praat can be used to annotate waveform data (e.g., to mark intervals of interest or to label events). (See <http://www.fon.hum.uva.nl/praat/> for more information about Praat.) These annotations are stored in a Praat TextGrid object, which consists of a number of interval tiers and point tiers. An interval tier consists of sequential (i.e., not overlapping) labeled intervals. A point tier consists of labeled events that have no duration. The 'textgRid' package provides S4 classes, generics, and methods for accessing information that is stored in Praat TextGrid objects.
|
2024-01-16 |
|
r-text
|
public |
Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
|
2024-01-16 |
|
r-term
|
public |
Creates, manipulates, queries and repairs vectors of parameter terms. Parameter terms are the labels used to reference values in vectors, matrices and arrays. They represent the names in coefficient tables and the column names in 'mcmc' and 'mcmc.list' objects.
|
2024-01-16 |
|
r-texreg
|
public |
Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented. Details can be found in Leifeld (2013), JStatSoft <doi:10.18637/jss.v055.i08>. (If the Zelig package, which this package enhances, cannot be found on CRAN, you can find it at <https://github.com/IQSS/Zelig>. If the mnlogit package, which this package enhances, cannot be found on CRAN, you can find an old version in the CRAN Archive at <https://cran.r-project.org/src/contrib/Archive/mnlogit/>.)
|
2024-01-16 |
|
r-testscorer
|
public |
GUI for entering test items and obtaining raw and transformed scores. The results are shown on the console and can be saved to a tabular text file for further statistical analysis. The user can define his own tests and scoring procedures through a GUI.
|
2024-01-16 |
|
r-testit
|
None |
Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
|
2024-01-16 |
|
r-testingsimilarity
|
public |
Provides a bootstrap test which decides whether two dose response curves can be assumed as equal concerning their maximum absolute deviation. A plenty of choices for the model types are available, which can be found in the 'DoseFinding' package, which is used for the fitting of the models. See <doi:10.1080/01621459.2017.1281813> for details.
|
2024-01-16 |
