This package provides tools to support sensible statistics for functional response analysis.

Scrapes Google Citation pages and creates data frames of citations over time.

Cubic spline fitting along with knot selection, includes support for additional variables.

This package provides functions to calculate lunar and other related environmental covariates.

Makes NCBI taxonomic data locally available and searchable as an R object.

Estimation of structural equation models with nonlinear effects and underlying nonnormal distributions.

It names the R Markdown chunks of files based on the filename.

Function for the GUI API to interact with external IDE/code editors.

Sample size estimation and blinded sample size reestimation in Adaptive Study Design.

An interface to spdep to integrate with sf objects and the tidyverse'.

Calculate Characteristics of Quasi-Periodic Time Series, e.g. Estuarine Water Levels.

This package produces a smooth estimate of the hazard function for censored data.

This package provides miscellaneous functions for training and plotting classification and regression models.

This package provides a rust library for building and interfacing with finite fields.

This package provides a rust library for building and interfacing with finite fields.

Calculates the Iberian Actuarial Climate Index and its componentsâ including temperature, precipitation, wind power, and sea level dataâ to support climate change analysis and risk assessment. See "Zhou et al." (2023) <doi:10.26360/2023_3> for further details.

This is a collection of functions designed for simulating, estimating and forecasting seasonal functional autoregressive time series of order one. These methods are addressed in the manuscript: <https://www.monash.edu/business/ebs/research/publications/ebs/wp16-2019.pdf>.

This package provides a collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions.

Semi-Automated Marketing Mix Modeling (MMM) aiming to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocation and diminishing returns curves and allows ground-truth calibration to account for causation.

Area under the receiver operating characteristic curves (AUC) statistic for significance test. Variance and covariance of AUC values used to assess the 95% Confidence interval (CI) and p-value of the AUC difference for both nested and non-nested model.

An interface to the software package MARK that constructs input files for MARK and extracts the output. MARK was developed by Gary White and is freely available at <http://www.phidot.org/software/mark/downloads/> but is not open source.

This package provides a set of functions for data manipulation with list objects, including mapping, filtering, grouping, sorting, updating, searching, and other useful functions. Most functions are designed to be pipeline friendly so that data processing with lists can be chained.

Display air quality model output and monitoring data using scatterplots, grids, and legends.

Get information about air quality using Airly <https://airly.eu/> API through R.