This package provides functions and S3 classes for time indexes and time indexed series, which are compatible with FAME frequencies.
This package provides an R wrapper for the special functions and quasi random number generators of the GNU Scientific Library.
This is a package for mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, and so on.
This package implements an S3 class for storing and formatting time-of-day values, based on the difftime
class.
The RMM fits Revenue Management Models using the RDE(Robust Demand Estimation) method introduced in the paper by <doi:10.2139/ssrn.3598259>, one of the customer choice-based Revenue Management Model. Furthermore, it is possible to select a multinomial model as well as a conditional logit model as a model of RDE.
Pattern matching, extraction, replacement and other string processing operations using Google's RE2 <https://github.com/google/re2> regular-expression engine. Consistent interface (similar to stringr'). RE2 uses finite-automata based techniques, and offers a fast and safe alternative to backtracking regular-expression engines like those used in stringr', stringi and other PCRE implementations.
Construct language-aware lists. Make "and"-separated and "or"-separated lists that automatically conform to the user's language settings.
Bayesian purity model to estimate tumor purity using methylation array data (DNA methylation Infinium 450K array data) without reference samples.
Reads and writes CSV with selected conventions. Uses the same generic function for reading and writing to promote consistent formats.
This is a collection of R games and other funny stuff, such as the classic Mine sweeper and sliding puzzles.
All data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright & Hyndman (Wiley, 3rd ed., 1998) <https://robjhyndman.com/forecasting/>.
Package provides the estimation of the structure and the parameters, sampling methods and structural plots of Hierarchical Archimedean Copulae (HAC).
This package implements an S7 class for estimates based on influence functions. Standard arithmetic operations are defined for the class.
Download ifo business survey data and more time series from ifo institute <https://www.ifo.de/en/ifo-time-series>.
This package performs model fitting and significance estimation for Localised Co-Dependency between pairs of features of a numeric dataset.
Creating efficiently new column(s) in a data frame (including tibble) by applying a function one row at a time.
This package performs Zoom-Focus Algorithm (ZFA) to optimize testing regions for rare variant association tests in exome sequencing data.
This package combines a forecast of a time series, using the function forecast
, with the dynamic plots from dygraphs
.
RE is a small, portable, lightweight, and quick, regular expression library for Common Lisp. It is a non-recursive, backtracing VM.
Estimates the rearranged dependence measure ('RDM') of two continuous random variables for different underlying measures. Furthermore, it provides a method to estimate the (SI)-rearrangement copula using empirical checkerboard copulas. It is based on the theoretical results presented in Strothmann et al. (2022) <arXiv:2201.03329>
and Strothmann (2021) <doi:10.17877/DE290R-22733>.
Solves the individual bioenergetic balance for different aquaculture sea fish (Sea Bream and Sea Bass; Brigolin et al., 2014 <doi:10.3354/aei00093>) and shellfish (Mussel and Clam; Brigolin et al., 2009 <doi:10.1016/j.ecss.2009.01.029>; Solidoro et al., 2000 <doi:10.3354/meps199137>). Allows for spatialized model runs and population simulations.
This package implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
Computation of the EQL for a given family of variance functions, Saddlepoint-approximations and related auxiliary functions (e.g. Hermite polynomials).
Work with configs with a source precedence. Either create own R6 instance or work with convenient functions at a package level.