R-universe search: exports:plr

Showing 7 of total 7 results (show query)

thie1e

cutpointr:Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks

Estimate cutpoints that optimize a specified metric in binary classification tasks and validate performance using bootstrapping. Some methods for more robust cutpoint estimation are supported, e.g. a parametric method assuming normal distributions, bootstrapped cutpoints, and smoothing of the metric values per cutpoint using Generalized Additive Models. Various plotting functions are included. For an overview of the package see Thiele and Hirschfeld (2021) <doi:10.18637/jss.v098.i11>.

Maintained by Christian Thiele. Last updated 4 months ago.

bootstrapping cutpoint-optimization roc-curve cpp

88 stars 10.44 score 322 scripts 1 dependents

ekstroem

MESS:Miscellaneous Esoteric Statistical Scripts

A mixed collection of useful and semi-useful diverse statistical functions, some of which may even be referenced in The R Primer book. See Ekstrøm, C. T. (2016). The R Primer. 2nd edition. Chapman & Hall.

Maintained by Claus Thorn Ekstrøm. Last updated 1 months ago.

biostatistics power-analysis statistical-analysis statistical-methods statistical-models openblas cpp

4 stars 7.69 score 328 scripts 13 dependents

serkor1

SLmetrics:Machine Learning Performance Evaluation on Steroids

Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.

Maintained by Serkan Korkmaz. Last updated 2 days ago.

cpp data-analysis data-science eigen3 machine-learning performance-metrics rcpp rcppeigen statistics supervised-learning cpp openmp

22 stars 6.56 score

942kid

plac:A Pairwise Likelihood Augmented Cox Estimator for Left-Truncated Data

A semi-parametric estimation method for the Cox model with left-truncated data using augmented information from the marginal of truncation times.

Maintained by Fan Wu. Last updated 2 years ago.

cpp

2 stars 3.00 score 6 scripts

nmartinkova

fuzzyreg:Fuzzy Linear Regression

Estimators for fuzzy linear regression. The functions estimate parameters of fuzzy linear regression models with crisp or fuzzy independent variables (triangular fuzzy numbers are supported). Implements multiple methods for parameter estimation and algebraic operations with triangular fuzzy numbers. Includes functions for summarising, printing and plotting the model fit. Calculates predictions from the model and total error of fit. Individual methods are described in Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, Hung & Yang (2006) <doi:10.1016/j.fss.2006.08.004>, Lee & Tanaka (1999) <doi:10.15807/jorsj.42.98>, Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008>, Skrabanek, Marek & Pozdilkova (2021) <doi:10.3390/math9060685>, Tanaka, Hayashi & Watada (1989) <doi:10.1016/0377-2217(89)90431-1>, Zeng, Feng & Li (2017) <doi:10.1016/j.asoc.2016.09.029>.

Maintained by Natalia Martinkova. Last updated 2 years ago.

2.38 score 24 scripts

imarinfr

visualFields:Statistical Methods for Visual Fields

A collection of tools for analyzing the field of vision. It provides a framework for development and use of innovative methods for visualization, statistical analysis, and clinical interpretation of visual-field loss and its change over time. It is intended to be a tool for collaborative research. The package is described in Marin-Franch and Swanson (2013) <doi:10.1167/13.4.10> and is part of the Open Perimetry Initiative (OPI) [Turpin, Artes, and McKendrick (2012) <doi:10.1167/12.11.22>].

Maintained by Ivan Marin-Franch. Last updated 2 months ago.

1.97 score 47 scripts

cran

stepPlr:L2 Penalized Logistic Regression with Stepwise Variable Selection

L2 penalized logistic regression for both continuous and discrete predictors, with forward stagewise/forward stepwise variable selection procedure.

Maintained by Mee Young Park. Last updated 7 years ago.

fortran

1.85 score