Request Scheduler

Offers classes and functions to contact web servers while enforcing scheduling rules required by the sites. The URL class makes it easy to construct a URL by providing parameters as a vector. The Request class allows to describes SOAP (Simple Object Access Protocol) or standard requests: URL, method (POST or GET), header, body. The Scheduler class controls the request frequency for each server address by mean of rules (Rule class). The RequestResult class permits to get the request status to handle error cases and the content.

Statistical Support for Hierarchical Clusters

Generates n hierarchical clustering hypotheses on subsets of classifiers (usually species in community ecology studies). The n clustering hypotheses are combined to generate a generalized cluster, and computes three metrics of support. 1) The average proportion of elements conforming the group in each of the n clusters (integrity). And 2) the contamination, i.e., the average proportion of elements from other groups that enter a focal group. 3) The probability of existence of the group gives the integrity and contamination in a Bayesian approach.

Estimate Rogers-Castro Migration Age Schedules with Bayesian Models

A collection of functions to estimate Rogers-Castro migration age schedules using 'Stan'. This model which describes the fundamental relationship between migration and age in the form of a flexible multi-exponential migration model was most notably proposed in Rogers and Castro (1978) .

'rChoiceDialogs' Collection

Collection of portable choice dialog widgets.

Multidimensional Top Scoring for Creativity Research

Implementation of Multidimensional Top Scoring method for creativity assessment proposed in Boris Forthmann, Maciej Karwowski, Roger E. Beaty (2023) .

Mixed ICA/PCA

Implements mixed ICA/PCA model for blind source separation, potentially with inclusion of Gaussian sources

Simple Key-Value Database using SQLite

Simple key-value database using SQLite as the backend.

Multivariate Time Series Plot

A function for plotting multivariate time series data.

Import and Export Data

Import and export data from the most common statistical formats by using R functions that guarantee the least loss of the data information, giving special attention to the date variables and the labelled ones.

Processing and Transforming Relational Event History Data

Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, ) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, ).