Showing 27 of total 27 results (show query)
justinmshea
neverhpfilter:An Alternative to the Hodrick-Prescott Filter
In the working paper titled "Why You Should Never Use the Hodrick-Prescott Filter", James D. Hamilton proposes a new alternative to economic time series filtering. The neverhpfilter package provides functions and data for reproducing his work. Hamilton (2017) <doi:10.3386/w23429>.
Maintained by Justin M. Shea. Last updated 2 years ago.
19.9 match 14 stars 5.93 score 61 scripts
cran
ggtern:An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Maintained by Nicholas Hamilton. Last updated 12 months ago.
9.4 match 4 stars 7.05 score 1.1k scripts 6 dependents
ready4-dev
ready4:Develop and Use Modular Health Economic Models
A template model module, tools to help find model modules derived from this template and a programming syntax to use these modules in health economic analyses. These elements are the foundation for a prototype software framework for developing living and transferable models and using those models in reproducible health economic analyses. The software framework is extended by other R libraries. For detailed documentation about the framework and how to use it visit <https://www.ready4-dev.com/>. For a background to the methodological issues that the framework is attempting to help solve, see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.
Maintained by Matthew Hamilton. Last updated 4 months ago.
computational-modelinghealth-economicssoftware-framework
9.6 match 2 stars 6.84 score 95 scripts
kylehamilton
lavaan.shiny:Latent Variable Analysis with Shiny
Interactive shiny application for working with different kinds of latent variable analysis, with the 'lavaan' package. Graphical output for models are provided and different estimators are supported.
Maintained by William Kyle Hamilton. Last updated 9 years ago.
9.6 match 10 stars 4.70 score 1 scriptskylehamilton
IRTShiny:Item Response Theory via Shiny
Interactive shiny application for running Item Response Theory analysis. Provides graphics for characteristic and information curves.
Maintained by W. Kyle Hamilton. Last updated 8 years ago.
9.3 match 13 stars 3.81 score 3 scripts
kenaho1
asbio:A Collection of Statistical Tools for Biologists
Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.
Maintained by Ken Aho. Last updated 2 months ago.
3.6 match 5 stars 7.32 score 310 scripts 3 dependentscran
smoother:Functions Relating to the Smoothing of Numerical Data
A collection of methods for smoothing numerical data, commencing with a port of the Matlab gaussian window smoothing function. In addition, several functions typically used in smoothing of financial data are included.
Maintained by Nicholas Hamilton. Last updated 12 months ago.
9.8 match 2.18 score 5 dependentscran
contoureR:Contouring of Non-Regular Three-Dimensional Data
Create contour lines for a non regular series of points, potentially from a non-regular canvas.
Maintained by Nicholas Hamilton. Last updated 10 years ago.
9.8 match 2 stars 2.00 scorekylehamilton
CTTShiny:Classical Test Theory via Shiny
Interactive shiny application for running classical test theory (item analysis).
Maintained by William Kyle Hamilton. Last updated 10 years ago.
8.4 match 2.00 score 1 scripts
wviechtb
metadat:Meta-Analysis Datasets
A collection of meta-analysis datasets for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses.
Maintained by Wolfgang Viechtbauer. Last updated 3 days ago.
1.5 match 30 stars 10.54 score 65 scripts 93 dependents
roga11
MSTest:Hypothesis Testing for Markov Switching Models
Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez Rondon & Dufour (2024) <https://grodriguezrondon.com/files/RodriguezRondon_Dufour_2024_MonteCarlo_LikelihoodRatioTest_MarkovSwitchingModels_20241015.pdf> that can be used to identify the number of regimes in Markov switching models.
Maintained by Gabriel Rodriguez Rondon. Last updated 21 days ago.
autoregressivebootstraphypothesis-testinglikelihood-ratio-testmarkov-chainmomentsmonte-carlonon-linearregime-switchingtime-seriesopenblascppopenmp
3.5 match 5 stars 4.18 score 3 scripts
paezha
discrtr:A Companion Package for the Book "Discrete Choice Analysis with 'R'"
Templates and data files to support "Discrete Choice Analysis with R", Páez, A. and Boisjoly, G. (2023) <doi:10.1007/978-3-031-20719-8>.
Maintained by Antonio Paez. Last updated 2 years ago.
discrete-choicediscrete-choice-data
3.6 match 3 stars 3.87 score 49 scripts
cran
optifunset:Set Options if Unset
A single function 'options.ifunset(...)' is contained herewith, which allows the user to set a global option ONLY if it is not already set. By this token, for package maintainers this function can be used in preference to the standard 'options(...)' function, making provision for THEIR end user to place 'options(...)' directives within their '.Rprofile' file, which will not be overridden at the point when a package is loaded.
Maintained by Nicholas Hamilton. Last updated 10 years ago.
9.8 match 1.00 score
kvasilopoulos
transx:Transform Univariate Time Series
Univariate time series operations that follow an opinionated design. The main principle of 'transx' is to keep the number of observations the same. Operations that reduce this number have to fill the observations gap.
Maintained by Kostas Vasilopoulos. Last updated 4 years ago.
detrendfiltersoutlierstime-seriestransx
2.3 match 3 stars 4.29 score 13 scripts
jepusto
scdhlm:Estimating Hierarchical Linear Models for Single-Case Designs
Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>; and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) <DOI:10.1016/j.jsp.2023.02.002>. Includes an interactive web interface.
Maintained by James Pustejovsky. Last updated 1 years ago.
1.7 match 4 stars 5.62 score 52 scripts
nicwir
QurvE:Robust and User-Friendly Analysis of Growth and Fluorescence Curves
High-throughput analysis of growth curves and fluorescence data using three methods: linear regression, growth model fitting, and smooth spline fit. Analysis of dose-response relationships via smoothing splines or dose-response models. Complete data analysis workflows can be executed in a single step via user-friendly wrapper functions. The results of these workflows are summarized in detailed reports as well as intuitively navigable 'R' data containers. A 'shiny' application provides access to all features without requiring any programming knowledge. The package is described in further detail in Wirth et al. (2023) <doi:10.1038/s41596-023-00850-7>.
Maintained by Nicolas T. Wirth. Last updated 1 years ago.
1.5 match 25 stars 6.00 score 7 scripts
prabhanjan-tattar
ACSWR:A Companion Package for the Book "A Course in Statistics with R"
A book designed to meet the requirements of masters students. Tattar, P.N., Suresh, R., and Manjunath, B.G. "A Course in Statistics with R", J. Wiley, ISBN 978-1-119-15272-9.
Maintained by Prabhanjan Tattar. Last updated 10 years ago.
3.8 match 2.03 score 106 scripts
christopherkenny
apportion:Apportion Seats
Convert populations into integer number of seats for legislative bodies. Implements apportionment methods used historically and currently in the United States for reapportionment after the Census, as described in <https://www.census.gov/history/www/reference/apportionment/methods_of_apportionment.html>.
Maintained by Christopher T. Kenny. Last updated 2 years ago.
1.9 match 2.70 score 4 scripts
jgregoriods
spDates:Analysis of Spatial Gradients in Radiocarbon Dates
Inspired by space-time regressions often performed to assess the expansion of the Neolithic from the Near East to Europe (Pinhasi et al. 2005 <doi:10.1371/journal.pbio.0030410>). Test for significant correlations between the (earliest) radiocarbon dates of archaeological sites and their respective distances from a hypothetical center of origin. Both ordinary least squares (OLS) and reduced major axis (RMA) methods are supported (Russell et al. 2014 <doi:10.1371/journal.pone.0087854>). It is also possible to iterate over many sites to identify the most likely origin.
Maintained by Jonas Gregorio de Souza. Last updated 2 years ago.
1.5 match 1 stars 2.70 score 2 scriptscran
CNLTreg:Complex-Valued Wavelet Lifting for Signal Denoising
Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.
Maintained by Matt Nunes. Last updated 7 years ago.
2.1 match 1.78 score 6 scripts 2 dependents
ramiromagno
geisha:GEISHA Expression Data
GEISHA expression data. These data are obtained from GEISHA <http://geisha.arizona.edu/geisha/downloads.jsp/>.
Maintained by Ramiro Magno. Last updated 4 years ago.
2.0 match 1 stars 1.70 scorecran
ecotoxicology:Methods for Ecotoxicology
Implementation of the EPA's Ecological Exposure Research Division (EERD) tools (discontinued in 1999) for Probit and Trimmed Spearman-Karber Analysis. Probit and Spearman-Karber methods from Finney's book "Probit analysis a statistical treatment of the sigmoid response curve" with options for most accurate results or identical results to the book. Probit and all the tables from Finney's book (code-generated, not copied) with the generating functions included. Control correction: Abbott, Schneider-Orelli, Henderson-Tilton, Sun-Shepard. Toxicity scales: Horsfall-Barratt, Archer, Gauhl-Stover, Fullerton-Olsen, etc.
Maintained by Jose Gama. Last updated 9 years ago.
1.7 match 3 stars 1.89 score 26 scripts
cran
CNLTtsa:Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis
Implementations of recent complex-valued wavelet spectral procedures for analysis of irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.
Maintained by Matt Nunes. Last updated 7 years ago.
2.1 match 1.00 score 9 scriptscran
BHSBVAR:Structural Bayesian Vector Autoregression Models
Provides a function for estimating the parameters of Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.
Maintained by Paul Richardson. Last updated 13 days ago.
0.9 match 1 stars 2.00 score
hubbardalex
kimfilter:Kim Filter
'Rcpp' implementation of the multivariate Kim filter, which combines the Kalman and Hamilton filters for state probability inference. The filter is designed for state space models and can handle missing values and exogenous data in the observation and state equations. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Maintained by Alex Hubbard. Last updated 1 years ago.
0.5 match 2.04 score 11 scripts