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rstatspkgbot @rstatspkgbot

Tweeting about random #RStats packages on CRAN 4x a day - one shiny, tidy or ggplot package a day! Also @rstatspkgbot@botsin.space - by @TimTeaFan

Joined May 2022
  • Tweets 1,590
  • Following 2
  • Followers 772
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📦 inline 📝 Functions to Inline C, C , Fortran Function Calls from R 🔗 cran.r-project.org/web/packa… 🤖#RStats

inline: Functions to Inline C, C , Fortran Function Calls from R

Functionality to dynamically define R functions and S4 methods with 'inlined' C, C or Fortran code supporting the .C and .Call calling conventions.

cran.r-project.org
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📦 Rfolding 📝 The Folding Test of Unimodality 🔗 cran.r-project.org/web/packa… 🤖#RStats

Rfolding: The Folding Test of Unimodality

The basic algorithm to perform the folding test of unimodality. Given a dataset X (d dimensional, n samples), the test checks whether the distribution of the data are rather unimodal or rather...

cran.r-project.org
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📦 rPraat 📝 Interface to Praat 🔗 cran.r-project.org/web/packa… 🤖#RStats

rPraat: Interface to Praat

Read, write and manipulate 'Praat' TextGrid, PitchTier, Pitch, IntensityTier, Formant, Sound, and Collection files <https://www.fon.hum.uva.nl/praat/>.

cran.r-project.org
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📦 shinydashboard 📝 Create Dashboards with 'Shiny' 🔗 cran.r-project.org/web/packa… 🤖#RStats

shinydashboard: Create Dashboards with 'Shiny'

Create dashboards with 'Shiny'. This package provides a theme on top of 'Shiny', making it easy to create attractive dashboards.

cran.r-project.org
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📦 gmvarkit 📝 Estimate Gaussian and Student's t Mixture Vector Autoregressive Models 🔗 cran.r-project.org/web/packa… 🤖#RStats

gmvarkit: Estimate Gaussian and Student's t Mixture Vector Autoregressive Models

Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive, Student's t mixture vector autoregressive, and Gaussian and Studen...

cran.r-project.org
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📦 felp 📝 Functional Help for Functions, Objects, and Packages 🔗 cran.r-project.org/web/packa… 🤖#RStats

felp: Functional Help for Functions, Objects, and Packages

Enhance R help system by fuzzy search and preview interface, pseudo-postfix operators, and more. The '?.' pseudo-postfix operator and the '?' prefix operator displays documents and contents (source...

cran.r-project.org
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📦 descriptr 📝 Generate Descriptive Statistics 🔗 cran.r-project.org/web/packa… 🤖#RStats

descriptr: Generate Descriptive Statistics

Generate descriptive statistics such as measures of location, dispersion, frequency tables, cross tables, group summaries and multiple one/two way tables.

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📦 figpatch 📝 Easily Arrange External Figures with Patchwork Alongside 'ggplot2' Figures 🔗 cran.r-project.org/web/packa… 🤖#RStats

figpatch: Easily Arrange External Figures with Patchwork Alongside 'ggplot2' Figures

For including external figures into an assembled {patchwork}. This enables the creation of more complex figures that include images alongside plots.

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📦 phenolocrop 📝 Time-Series Models to the Crop Phenology 🔗 cran.r-project.org/web/packa… 🤖#RStats

phenolocrop: Time-Series Models to the Crop Phenology

Fit a time-series model to a crop phenology data, such as time-series rice canopy height. This package returns the model parameters as the summary statistics of crop phenology, and these parameters...

cran.r-project.org
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📦 EGAnet 📝 Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics 🔗 cran.r-project.org/web/packa… 🤖#RStats

EGAnet: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in...

Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods...

cran.r-project.org
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📦 getProxy 📝 Get Free Proxy IP and Port 🔗 cran.r-project.org/web/packa… 🤖#RStats

getProxy: Get Free Proxy IP and Port

Allows get address and port of the free proxy server, from one of two services <http://gimmeproxy.com/> or <https://getproxylist.com/>. And it's easy to redirect your Internet connection through a...

cran.r-project.org
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📦 ggdag 📝 Analyze and Create Elegant Directed Acyclic Graphs 🔗 cran.r-project.org/web/packa… 🤖#RStats

ggdag: Analyze and Create Elegant Directed Acyclic Graphs

Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses the 'DAGitty' web tool (<https://dagitty.net/>) for creating and analyzing DAGs....

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📦 mlmm.gwas 📝 Pipeline for GWAS Using MLMM 🔗 cran.r-project.org/web/packa… 🤖#RStats
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📦 MixGHD 📝 Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions 🔗 cran.r-project.org/web/packa… 🤖#RStats

MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of...

Carries out model-based clustering, classification and discriminant analysis using five different models. The models are all based on the generalized hyperbolic distribution. The first model 'MGHD'...

cran.r-project.org
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📦 desplot 📝 Plotting Field Plans for Agricultural Experiments 🔗 cran.r-project.org/web/packa… 🤖#RStats

desplot: Plotting Field Plans for Agricultural Experiments

A function for plotting maps of agricultural field experiments that are laid out in grids. See Ryder (1981) <doi:10.1017/S0014479700011601>.

cran.r-project.org
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📦 shinySearchbar 📝 Shiny Searchbar - An Input Widget for Highlighting Text and More 🔗 cran.r-project.org/web/packa… 🤖#RStats

shinySearchbar: Shiny Searchbar - An Input Widget for Highlighting Text and More

Add a searchbar widget to your 'Shiny' application. The widget quickly integrates with any existing element containing text to highlight matches. Highlighting is done with the 'JavaScript' library...

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📦 alqrfe 📝 Adaptive Lasso Quantile Regression with Fixed Effects 🔗 cran.r-project.org/web/packa… 🤖#RStats
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📦 survML 📝 Flexible Estimation of Conditional Survival Functions Using Machine Learning 🔗 cran.r-project.org/web/packa… 🤖#RStats

survML: Tools for Flexible Survival Analysis Using Machine Learning

Statistical tools for analyzing time-to-event data using machine learning. Implements survival stacking for conditional survival estimation, standardized survival function estimation for current...

cran.r-project.org
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📦 PreProcessing 📝 Various Preprocessing Transformations of Numeric Data Matrices 🔗 cran.r-project.org/web/packa… 🤖#RStats

PreProcessing: Various Preprocessing Transformations of Numeric Data Matrices

Preprocess numeric data matrices into desired transformed representations. Standardization, Unitization, Cubitization and adaptive intervals are offered.

cran.r-project.org
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📦 tidyHeatmap 📝 A Tidy Implementation of Heatmap 🔗 cran.r-project.org/web/packa… 🤖#RStats

tidyHeatmap: A Tidy Implementation of Heatmap

This is a tidy implementation for heatmap. At the moment it is based on the (great) package 'ComplexHeatmap'. The goal of this package is to interface a tidy data frame with this powerful tool. Some...

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