Showing 16 of total 16 results (show query)
tagteam
prodlim:Product-Limit Estimation for Censored Event History Analysis
Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method.
Maintained by Thomas A. Gerds. Last updated 24 days ago.
7 stars 12.18 score 1000 scripts 462 dependents
flr
FLCore:Core Package of FLR, Fisheries Modelling in R
Core classes and methods for FLR, a framework for fisheries modelling and management strategy simulation in R. Developed by a team of fisheries scientists in various countries. More information can be found at <http://flr-project.org/>.
Maintained by Iago Mosqueira. Last updated 8 days ago.
fisheriesflrfisheries-modelling
16 stars 8.78 score 956 scripts 23 dependents
scottkosty
bootstrap:Functions for the Book "An Introduction to the Bootstrap"
Software (bootstrap, cross-validation, jackknife) and data for the book "An Introduction to the Bootstrap" by B. Efron and R. Tibshirani, 1993, Chapman and Hall. This package is primarily provided for projects already based on it, and for support of the book. New projects should preferentially use the recommended package "boot".
Maintained by Scott Kostyshak. Last updated 6 years ago.
7.62 score 890 scripts 30 dependents
tmatta
lsasim:Functions to Facilitate the Simulation of Large Scale Assessment Data
Provides functions to simulate data from large-scale educational assessments, including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design. The theoretical foundation can be found on Matta, T.H., Rutkowski, L., Rutkowski, D. et al. (2018) <doi:10.1186/s40536-018-0068-8>.
Maintained by Waldir Leoncio. Last updated 2 months ago.
6 stars 6.41 score 18 scripts
brian-j-smith
MRMCaov:Multi-Reader Multi-Case Analysis of Variance
Estimation and comparison of the performances of diagnostic tests in multi-reader multi-case studies where true case statuses (or ground truths) are known and one or more readers provide test ratings for multiple cases. Reader performance metrics are provided for area under and expected utility of ROC curves, likelihood ratio of positive or negative tests, and sensitivity and specificity. ROC curves can be estimated empirically or with binormal or binormal likelihood-ratio models. Statistical comparisons of diagnostic tests are based on the ANOVA model of Obuchowski-Rockette and the unified framework of Hillis (2005) <doi:10.1002/sim.2024>. The ANOVA can be conducted with data from a full factorial, nested, or partially paired study design; with random or fixed readers or cases; and covariances estimated with the DeLong method, jackknifing, or an unbiased method. Smith and Hillis (2020) <doi:10.1117/12.2549075>.
Maintained by Brian J Smith. Last updated 2 years ago.
12 stars 5.26 score 8 scripts 1 dependents
tesselle
tabula:Analysis and Visualization of Archaeological Count Data
An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). It allows to easily visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams, etc.
Maintained by Nicolas Frerebeau. Last updated 25 days ago.
data-visualizationarchaeologyarchaeological-science
5.10 score 38 scripts 1 dependentstesselle
kairos:Analysis of Chronological Patterns from Archaeological Count Data
A toolkit for absolute and relative dating and analysis of chronological patterns. This package includes functions for chronological modeling and dating of archaeological assemblages from count data. It provides methods for matrix seriation. It also allows to compute time point estimates and density estimates of the occupation and duration of an archaeological site.
Maintained by Nicolas Frerebeau. Last updated 25 days ago.
chronologymatrix-seriationarchaeologyarchaeological-science
4.66 score 11 scripts 1 dependents
luisagi
enmpa:Ecological Niche Modeling using Presence-Absence Data
A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>, Cobos et al., (2019) <doi:10.7717/peerj.6281>, and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.
Maintained by Luis F. Arias-Giraldo. Last updated 3 months ago.
5 stars 4.35 score 5 scripts
leospeidel
twigstats:twigstats
This package takes Relate genealogies as input to compute time-stratified f-statistics.
Maintained by Leo Speidel. Last updated 21 days ago.
13 stars 3.93 score 12 scripts
mrc-ide
demogsurv:Demographic analysis of DHS and other household surveys
This package includes tools for calculating demographic indicators from household survey data. Initially developed for for processing and analysis from Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS). The package provides tools to calculate standard child mortality, adult mortality, and fertility indicators stratified arbitrarily by age group, calendar period, pre-survey time periods, birth cohorts and other survey variables (e.g. residence, region, wealth status, education, etc.). Design-based standard errors and sample correlations are available for all indicators via Taylor linearisation or jackknife.
Maintained by Jeff Eaton. Last updated 3 years ago.
6 stars 2.92 score 28 scripts
timhesterberg
resample:Resampling Functions
Bootstrap, permutation tests, and jackknife, featuring easy-to-use syntax.
Maintained by Tim Hesterberg. Last updated 3 years ago.
2.82 score 221 scripts 1 dependents
jipingw
SPECIES:Statistical Package for Species Richness Estimation
Implementation of various methods in estimation of species richness or diversity in Wang (2011)<doi:10.18637/jss.v040.i09>.
Maintained by Ji-Ping Wang. Last updated 6 months ago.
2.76 score 57 scripts
meganheyman
lmboot:Bootstrap in Linear Models
Various efficient and robust bootstrap methods are implemented for linear models with least squares estimation. Functions within this package allow users to create bootstrap sampling distributions for model parameters, test hypotheses about parameters, and visualize the bootstrap sampling or null distributions. Methods implemented for linear models include the wild bootstrap by Wu (1986) <doi:10.1214/aos/1176350142>, the residual and paired bootstraps by Efron (1979, ISBN:978-1-4612-4380-9), the delete-1 jackknife by Quenouille (1956) <doi:10.2307/2332914>, and the Bayesian bootstrap by Rubin (1981) <doi:10.1214/aos/1176345338>.
Maintained by Megan Heyman. Last updated 5 years ago.
2 stars 2.70 score 25 scripts
mohanasundarams
jackknifeR:Delete-d Jackknife for Point and Interval Estimation
This function creates jackknife samples from the data by sequentially removing d observations from the data, performs estimation using the jackknife samples and calculates the jackknife coefficients, bias, standard error and confidence intervals based on the methodology discussed by Quenouille (1956) <doi:10.2307/2332914>, Tukey (1958) <doi:10.1214/aoms/1177706647> and Shi (1988) <doi:10.1016/0167-7152(88)90011-9>.
Maintained by S. Mohanasundaram. Last updated 2 years ago.
1 stars 2.70 score 9 scripts
cran
Omisc:Univariate Bootstrapping and Other Things
Primarily devoted to implementing the Univariate Bootstrap (as well as the Traditional Bootstrap). In addition there are multiple functions for DeFries-Fulker behavioral genetics models. The univariate bootstrapping functions, DeFries-Fulker functions, regression and traditional bootstrapping functions form the original core. Additional features may come online later, however this software is a work in progress. For more information about univariate bootstrapping see: Lee and Rodgers (1998) and Beasley et al (2007) <doi:10.1037/1082-989X.12.4.414>.
Maintained by Patrick OKeefe. Last updated 3 years ago.
1.00 score