|
r-pchc
|
public |
Bayesian network learning using the PCHC algorithm. PCHC stands for PC Hill-Climbing, a new hybrid algorithm that uses PC to construct the skeleton of the BN and then applies the Hill-Climbing greedy search. More algorithms and variants have been added, such as MMHC, FEDHC, and the Tabu search variants, PCTABU, MMTABU and FEDTABU. The relevant papers are: a) Tsagris M. (2021). A new scalable Bayesian network learning algorithm with applications to economics. Computational Economics, 57(1): 341-367. <doi:10.1007/s10614-020-10065-7>. b) Tsagris M. (2022). The FEDHC Bayesian Network Learning Algorithm. Mathematics 2022, 10(15): 2604. <doi:10.3390/math10152604>.
|
2025-03-25 |
|
r-paws.storage
|
public |
Interface to 'Amazon Web Services' storage services, including 'Simple Storage Service' ('S3') and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.security.identity
|
public |
Interface to 'Amazon Web Services' security, identity, and compliance services, including the 'Identity & Access Management' ('IAM') service for managing access to services and resources, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.networking
|
public |
Interface to 'Amazon Web Services' networking and content delivery services, including 'Route 53' Domain Name System service, 'CloudFront' content delivery, load balancing, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.management
|
public |
Interface to 'Amazon Web Services' management and governance services, including 'CloudWatch' application and infrastructure monitoring, 'Auto Scaling' for automatically scaling resources, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.machine.learning
|
public |
Interface to 'Amazon Web Services' machine learning services, including 'SageMaker' managed machine learning service, natural language processing, speech recognition, translation, and more <https://aws.amazon.com/machine-learning/>.
|
2025-03-25 |
|
r-paws.end.user.computing
|
public |
Interface to 'Amazon Web Services' end user computing services, including collaborative document editing, mobile intranet, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.database
|
public |
Interface to 'Amazon Web Services' database services, including 'Relational Database Service' ('RDS'), 'DynamoDB' 'NoSQL' database, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.developer.tools
|
public |
Interface to 'Amazon Web Services' developer tools services, including version control, continuous integration and deployment, and more <https://aws.amazon.com/products/developer-tools/>.
|
2025-03-25 |
|
r-paws.customer.engagement
|
public |
Interface to 'Amazon Web Services' customer engagement services, including 'Simple Email Service', 'Connect' contact center service, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.cost.management
|
public |
Interface to 'Amazon Web Services' cost management services, including cost and usage reports, budgets, pricing, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.compute
|
public |
Interface to 'Amazon Web Services' compute services, including 'Elastic Compute Cloud' ('EC2'), 'Lambda' functions-as-a-service, containers, batch processing, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.application.integration
|
public |
Interface to 'Amazon Web Services' application integration services, including 'Simple Queue Service' ('SQS') message queue, 'Simple Notification Service' ('SNS') publish/subscribe messaging, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws.analytics
|
public |
Interface to 'Amazon Web Services' 'analytics' services, including 'Elastic MapReduce' 'Hadoop' and 'Spark' big data service, 'Elasticsearch' search engine, and more <https://aws.amazon.com/>.
|
2025-03-25 |
|
r-paws
|
public |
Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
|
2025-03-25 |
|
r-pathfindr.data
|
public |
This is a data-only package, containing data needed to run the CRAN package 'pathfindR', a package for enrichment analysis utilizing active subnetworks. This package contains protein-protein interaction network data, data related to gene sets and example input/output data.
|
2025-03-25 |
|
r-patrick
|
public |
This is an extension of the 'testthat' package that lets you add parameters to your unit tests. Parameterized unit tests are often easier to read and more reliable, since they follow the DNRY (do not repeat yourself) rule.
|
2025-03-25 |
|
r-paswr2
|
public |
Functions and data sets for the text Probability and Statistics with R, Second Edition.
|
2025-03-25 |
|
r-pareto
|
public |
Utilities for the Pareto, piecewise Pareto and generalized Pareto distribution that are useful for reinsurance pricing. In particular, the package provides a non-trivial algorithm that can be used to match the expected losses of a tower of reinsurance layers with a layer-independent collective risk model. The theoretical background of the matching algorithm and most other methods are described in Ulrich Riegel (2018) <doi:10.1007/s13385-018-0177-3>.
|
2025-03-25 |
|
r-parbayesianoptimization
|
public |
Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. <arXiv:1206.2944>. The package allows the user to run scoring function in parallel, save intermediary results, and tweak other aspects of the process to fully utilize the computing resources available to the user.
|
2025-03-25 |
|
r-parsnip
|
public |
A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).
|
2025-03-25 |
|
r-parameters
|
public |
Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
|
2025-03-25 |
|
r-paradox
|
public |
Define parameter spaces, constraints and dependencies for arbitrary algorithms, to program on such spaces. Also includes statistical designs and random samplers. Objects are implemented as 'R6' classes.
|
2025-03-25 |
|
r-papaja
|
public |
Tools to create dynamic, submission-ready manuscripts, which conform to American Psychological Association manuscript guidelines. We provide R Markdown document formats for manuscripts (PDF and Word) and revision letters (PDF). Helper functions facilitate reporting statistical analyses or create publication-ready tables and plots.
|
2025-03-25 |
|
r-parallellogger
|
public |
Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
|
2025-03-25 |
