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r-polynom
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public |
A collection of functions to implement a class for univariate polynomial manipulations.
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2025-03-25 |
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r-polycor
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public |
Computes polychoric and polyserial correlations by quick "two-step" methods or ML, optionally with standard errors; tetrachoric and biserial correlations are special cases.
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2025-03-25 |
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r-pmmltransformations
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public |
Allows for data to be transformed before using it to construct models. Builds structures to allow functions in the PMML package to output transformation details in addition to the model in the resulting PMML file. The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <http://www.dmg.org>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms.
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2025-03-25 |
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r-pmml
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public |
The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <http://www.dmg.org>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms. The package isofor (used for anomaly detection) can be installed with devtools::install_github("Zelazny7/isofor").
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2025-03-25 |
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r-pls
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public |
Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).
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2025-03-25 |
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r-plotrix
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public |
Lots of plots, various labeling, axis and color scaling functions.
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2025-03-25 |
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r-plotmo
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public |
Plot model surfaces for a wide variety of models using partial dependence plots and other techniques. Also plot model residuals and other information on the model.
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2025-03-25 |
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r-plotlygeoassets
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public |
Includes 'JavaScript' files that allow 'plotly' maps to render without an internet connection.
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2025-03-25 |
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r-plot3d
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public |
Functions for viewing 2-D and 3-D data, including perspective plots, slice plots, surface plots, scatter plots, etc. Includes data sets from oceanography.
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2025-03-25 |
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r-plogr
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public |
A simple header-only logging library for C++. Add 'LinkingTo: plogr' to 'DESCRIPTION', and '#include <plogr.h>' in your C++ modules to use it.
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2025-03-25 |
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r-pkpdmodels
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public |
Provides functions to evaluate common pharmacokinetic/pharmacodynamic models and their gradients.
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2025-03-25 |
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r-pkgkitten
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public |
Provides a function kitten() which creates cute little packages which pass R package checks. This sets it apart from package.skeleton() which it calls, and which leaves imperfect files behind. As this is not exactly helpful for beginners, kitten() offers an alternative.
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2025-03-25 |
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r-pkgconfig
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public |
Set configuration options on a per-package basis. Options set by a given package only apply to that package, other packages are unaffected.
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2025-03-25 |
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r-pillar
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public |
Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
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2025-03-25 |
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r-permute
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public |
A set of restricted permutation designs for freely exchangeable, line transects (time series), and spatial grid designs plus permutation of blocks (groups of samples) is provided. 'permute' also allows split-plot designs, in which the whole-plots or split-plots or both can be freely-exchangeable or one of the restricted designs. The 'permute' package is modelled after the permutation schemes of 'Canoco 3.1' (and later) by Cajo ter Braak.
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2025-03-25 |
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r-pder
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public |
Data sets for the Panel Data Econometrics with R book.
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2025-03-25 |
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r-pcse
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public |
A function to estimate panel-corrected standard errors. Data may contain balanced or unbalanced panels.
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2025-03-25 |
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r-pbapply
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public |
A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends.
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2025-03-25 |
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r-pacman
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public |
Tools to more conveniently perform tasks associated with add-on packages. pacman conveniently wraps library and package related functions and names them in an intuitive and consistent fashion. It seeks to combine functionality from lower level functions which can speed up workflow.
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2025-03-25 |
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r-packrat
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public |
Manage the R packages your project depends on in an isolated, portable, and reproducible way.
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2025-03-25 |
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r-oz
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public |
Functions for plotting Australia's coastline and state boundaries.
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2025-03-25 |
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r-orthopolynom
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public |
A collection of functions to construct sets of orthogonal polynomials and their recurrence relations. Additional functions are provided to calculate the derivative, integral, value and roots of lists of polynomial objects.
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2025-03-25 |
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r-orientlib
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public |
Representations, conversions and display of orientation SO(3) data. See the orientlib help topic for details.
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2025-03-25 |
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r-optimx
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public |
Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here.
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2025-03-25 |
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r-optextras
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public |
Tools to assist in safely applying user generated objective and derivative function to optimization programs. These are primarily function minimization methods with at most bounds and masks on the parameters. Provides a way to check the basic computation of objective functions that the user provides, along with proposed gradient and Hessian functions, as well as to wrap such functions to avoid failures when inadmissible parameters are provided. Check bounds and masks. Check scaling or optimality conditions. Perform an axial search to seek lower points on the objective function surface. Includes forward, central and backward gradient approximation codes.
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2025-03-25 |
