R-universe search: exports:conc

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xliaosdsu

coneproj:Primal or Dual Cone Projections with Routines for Constrained Regression

Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.

Maintained by Xiyue Liao. Last updated 1 months ago.

openblas cpp

2 stars 4.75 score 21 scripts 21 dependents

mplex

multigraph:Plot and Manipulate Multigraphs

Functions to plot and manipulate multigraphs, signed and valued graphs, bipartite graphs, multilevel graphs, and Cayley graphs with various layout options.

Maintained by Antonio Rivero Ostoic. Last updated 2 months ago.

bipartite-graphs bipartite-network graph graph-visualization network-analysis network-visualization plot

22 stars 4.66 score 14 scripts

cran

survC1:C-Statistics for Risk Prediction Models with Censored Survival Data

Performs inference for C of risk prediction models with censored survival data, using the method proposed by Uno et al. (2011) <doi:10.1002/sim.4154>. Inference for the difference in C between two competing prediction models is also implemented.

Maintained by Hajime Uno. Last updated 4 years ago.

fortran

3.76 score 4 dependents

xliaosdsu

cgam:Constrained Generalized Additive Model

A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with triangle splines without additivity assumptions. See Liao X, Meyer MC (2019)<doi:10.18637/jss.v089.i05> for more details.

Maintained by Xiyue Liao. Last updated 1 months ago.

1 stars 3.52 score 59 scripts 2 dependents

masterclm

mclm:Mastering Corpus Linguistics Methods

Read, inspect and process corpus files for quantitative corpus linguistics. Obtain concordances via regular expressions, tokenize texts, and compute frequencies and association measures. Useful for collocation analysis, keywords analysis and variationist studies (comparison of linguistic variants and of linguistic varieties).

Maintained by Mariana Montes. Last updated 2 years ago.

corpus linguistics cpp

1 stars 3.24 score 35 scripts

cran

REAT:Regional Economic Analysis Toolbox

Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.

Maintained by Thomas Wieland. Last updated 4 years ago.

3 stars 2.48 score