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Get XKCD Comic Data
Download data from individual XKCD comics, written by Randall Munroe < https://xkcd.com/>.
Bayesian Hierarchical Regression on Clearance Rates in the Presence of Lag and Tail Phases
An implementation of the Bayesian Clearance Estimator (Fogarty et al. (2015)
Censoring Data and Likelihood-Based Correlation Estimation
A profile likelihood based method of estimation and inference on the correlation coefficient of bivariate data with different types of censoring and missingness.
Automatic Fixed Rank Kriging
Automatic fixed rank kriging for (irregularly located)
spatial data using a class of basis functions with multi-resolution features
and ordered in terms of their resolutions. The model parameters are estimated
by maximum likelihood (ML) and the number of basis functions is determined
by Akaike's information criterion (AIC). For spatial data with either one
realization or independent replicates, the ML estimates and AIC are efficiently
computed using their closed-form expressions when no missing value occurs. Details
regarding the basis function construction, parameter estimation, and AIC calculation
can be found in Tzeng and Huang (2018)
Companion Package for Statistics with R
Provides functions and datasets to support inference with the open access book "An Introduction to Bayesian Thinking", available online < https://statswithr.github.io/book> and online videos for the "Statistics with R Specialization" < https://www.coursera.org/specializations/statistics>. which includes an introduction to Bayesian inference and decision making for one and two sample credible intervals and hypothesis testing for Gaussian and Binomial data, in addition to frequentist inference using model-based and randomization-based methods. To help with understanding concepts, 'shiny' applications are used to aide visualization of sampling distributions, credible intervals, hypothesis testing, Lindley's and Bartlett's paradoxes. For development versions or to report issues, please visit < https://github.com/StatsWithR/statsr>.
Flexible Simulations of Biological Sequence Evolution
An extensible object-oriented framework for the Monte Carlo simulation of sequence evolution written in 100 percent R. It is built on the top of the R.oo and ape packages and uses Gillespie's direct method to simulate substitutions, insertions and deletions.
API Client and Dataset Management for the Demographic and Health Survey (DHS) Data
Provides a client for (1) querying the DHS API for survey indicators and metadata (< https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.
Nonparametric Models for Longitudinal Data
Support the book: Wu CO and Tian X (2018). Nonparametric Models for Longitudinal Data. Chapman & Hall/CRC (to appear); and provide fit for using global and local smoothing methods for the conditional-mean and conditional-distribution based models with longitudinal Data.
Simulate from ODE-Based Models
Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Weighted Portmanteau Tests for Time Series Goodness-of-fit
This packages contains the Weighted Portmanteau Tests as described in "New Weighted Portmanteau Statistics for Time Series Goodness-of-Fit Testing' accepted for publication by the Journal of the American Statistical Association.