Tutarials of R learning easily and happily.
Dynamic linear models and time series regression.
Symbolic computing with multivariate polynomials in R.
Method to perform penalized variance component analysis.
This package provides raw system calls for Rust.
This package provides an async HTTP/3 implementation.
This package provides an async HTTP/3 implementation.
This package provides an async HTTP/3 implementation.
This package provides an async HTTP/3 implementation.
An implementation of calls designed to collect and organize Mastodon data via its Application Program Interfaces (API), which can be found at the following URL: <https://docs.joinmastodon.org/>.
This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
The RJDBC package is an implementation of R's DBI interface using JDBC as a back-end. This allows R to connect to any DBMS that has a JDBC driver.
Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples. Package performance is tuned for large spatial datasets.
Simplified scenario testing and sensitivity analysis, redesigned to use packages future and furrr'. Provides functions for generating function argument sets using one-factor-at-a-time (OFAT) and (sampled) permutations.
Estimates of standard errors of popular risk and performance measures for asset or portfolio returns using methods as described in Chen and Martin (2021) <doi:10.21314/JOR.2020.446>.
This package provides functions to simulate and analyze data for a regression model with an interval censored covariate, as described in Morrison et al. (2021) <doi:10.1111/biom.13472>.
Connector to the REST API of a Rock R server, to perform operations on a remote R server session, or administration tasks. See Rock documentation at <https://rockdoc.obiba.org/>.
This package provides an R interface to the GNU Linear Programming Kit, software for solving large-scale linear programming (LP), mixed integer linear programming (MILP) and other related problems.
This package provides An async HTTP/3 implementation.
Log-analytic methods intended for testing multiplicative effects.
Fit right censored Multiple Ordinal Tobit (MOT) model.
Parametric modeling of M-quantile regression coefficient functions.
This package provides a database-independent JDBC interface.
Weighted Piecewise Kernel Density Estimation for large data.