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Small Area Estimation: Time-Series Models
Time series area-level models for small area estimation.
The package supplements the functionality of the sae package. Specifically, it includes
EBLUP fitting of the Rao-Yu model in the original form without a spatial component.
The package also offers a modified ("dynamic") version of the Rao-Yu model, replacing
the assumption of stationarity. Both univariate and multivariate applications are
supported. Of particular note is the allowance for covariance of the area-level sample
estimates over time, as encountered in rotating panel designs such as the U.S. National
Crime Victimization Survey or present in a time-series of 5-year estimates from the
American Community Survey. Key references to the methods include
J.N.K. Rao and I. Molina (2015, ISBN:9781118735787),
J.N.K. Rao and M. Yu (1994)
Get XKCD Comic Data
Download data from individual XKCD comics, written by Randall Munroe < https://xkcd.com/>.
Stock Database Web Services
R interface to access the web services of the ICES Stock Database < https://sd.ices.dk>.
Datasets from the Datasaurus Dozen
The Datasaurus Dozen is a set of datasets with the same
summary statistics. They retain the same summary statistics despite
having radically different distributions. The datasets represent a
larger and quirkier object lesson that is typically taught via
Anscombe's Quartet (available in the 'datasets' package). Anscombe's
Quartet contains four very different distributions with the same
summary statistics and as such highlights the value of visualisation
in understanding data, over and above summary statistics. As well as
being an engaging variant on the Quartet, the data is generated in a
novel way. The simulated annealing process used to derive datasets
from the original Datasaurus is detailed in "Same Stats, Different
Graphs: Generating Datasets with Varied Appearance and Identical
Statistics through Simulated Annealing"
Functions Related to ICES Advice
A collection of functions that facilitate computational steps related to advice for fisheries management, according to ICES guidelines. These include methods for calculating reference points and model diagnostics.
Permutation Test for Some Positive and Many Zero Responses
Calculates permutation tests that can be powerful for comparing two groups with some positive but many zero responses (see Follmann, Fay, and Proschan
Stock Assessment Graphs Database Web Services
R interface to access the web services of the ICES Stock Assessment Graphs database < https://sg.ices.dk>.
Modelling Framework for the Estimation of Salmonid Abundance
A set of functions to estimate capture probabilities and densities from multipass pass removal data.
Names Your 'R Markdown' Chunks
It names the 'R Markdown' chunks of files based on the filename.
Functions to Support the ICES Transparent Assessment Framework
Functions to support the ICES Transparent Assessment Framework < https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.