|
r-coxphf
|
public |
Implements Firth's penalized maximum likelihood bias reduction method for Cox regression which has been shown to provide a solution in case of monotone likelihood (nonconvergence of likelihood function). The program fits profile penalized likelihood confidence intervals which were proved to outperform Wald confidence intervals.
|
2025-04-22 |
|
r-coxme
|
public |
This package fits Cox proportional hazards models containing both fixed and random effects. The random effects can have a general form, of which familial interactions (a "kinship" matrix) is a particular special case. Note that the simplest case of a mixed effects Cox model, i.e. a single random per-group intercept, is also called a "frailty" model. The approach is based on Rippatti and Palgren, Biometrics 2002.
|
2025-04-22 |
|
r-coxboost
|
public |
This package provides routines for fitting Cox models by likelihood based boosting for a single endpoint or in presence of competing risks
|
2025-04-22 |
|
r-bigtime
|
public |
Estimation of large Vector AutoRegressive (VAR), Vector AutoRegressive with Exogenous Variables X (VARX) and Vector AutoRegressive Moving Average (VARMA) Models with Structured Lasso Penalties, see Nicholson, Bien and Matteson (2017) <arXiv:1412.5250v2> and Wilms, Basu, Bien and Matteson (2017) <arXiv:1707.09208>.
|
2025-04-22 |
|
r-bbl
|
public |
Supervised learning using Boltzmann Bayes model inference, which extends naive Bayes model to include interactions. Enables classification of data into multiple response groups based on a large number of discrete predictors that can take factor values of heterogeneous levels. Either pseudo-likelihood and mean field inference can be used with L2 regularization, cross-validation, and prediction on new data. Woo et al. (2016) <doi:10.1186/s12864-016-2871-3>.
|
2025-04-22 |
|
r-arf3ds4
|
public |
Activated Region Fitting (ARF) is an analysis method for fMRI data.
|
2025-04-22 |
|
r-covsep
|
public |
Functions for testing if the covariance structure of 2-dimensional data (e.g. samples of surfaces X_i = X_i(s,t)) is separable, i.e. if covariance(X) = C_1 x C_2. A complete descriptions of the implemented tests can be found in the paper Aston, John A. D.; Pigoli, Davide; Tavakoli, Shahin. Tests for separability in nonparametric covariance operators of random surfaces. Ann. Statist. 45 (2017), no. 4, 1431--1461. <doi:10.1214/16-AOS1495> <https://projecteuclid.org/euclid.aos/1498636862> <arXiv:1505.02023>.
|
2025-04-22 |
|
r-covrobust
|
public |
The cov.nnve() function implements robust covariance estimation by the nearest neighbor variance estimation (NNVE) method of Wang and Raftery (2002) <DOI:10.1198/016214502388618780>.
|
2025-04-22 |
|
r-covreg
|
public |
This package fits a simultaneous regression model for the mean vectors and covariance matrices of multivariate response variables, as described in Hoff and Niu (2012). The explanatory variables can be continuous or discrete. The current version of the package provides the Bayesian estimates.
|
2025-04-22 |
|
r-covfefe
|
public |
Converts any word, sentence or speech into Trump's infamous "covfefe" format. Reference: <https://www.nytimes.com/2017/05/31/us/politics/covfefe-trump-twitter.html>. Inspiration thanks to: <https://codegolf.stackexchange.com/questions/123685/covfefify-a-string>.
|
2025-04-22 |
|
r-countrycode
|
public |
Standardize country names, convert them into one of eleven coding schemes, convert between coding schemes, and assign region descriptors.
|
2025-04-22 |
|
r-counthmm
|
public |
Provides tools for penalized estimation of flexible hidden Markov models for time series of counts w/o the need to specify a (parametric) family of distributions. These include functions for model fitting, model checking, and state decoding. For details, see Adam, T., Langrock, R., and Weiß, C.H. (2019): Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts. <arXiv:1901.03275>.
|
2025-04-22 |
|
r-countgmifs
|
public |
Provides a function for fitting Poisson and negative binomial regression models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
|
2025-04-22 |
|
r-couchdb
|
public |
Interface to the couchDB document database <http://couchdb.apache.org>.
|
2025-04-22 |
|
r-cotrend
|
public |
Implements cointegration/cotrending rank selection algorithm in Guo and Shintani (2013) "Consistant cotrending rank selection when both stochastic and nonlinear deterministic trends are present". The Econometrics Journal 16: 473-483 <doi:10.1111/j.1368-423X.2012.00392.x>. Numbered examples correspond to Feb 2011 preprint <http://www.fas.nus.edu.sg/ecs/events/seminar/seminar-papers/05Apr11.pdf>.
|
2025-04-22 |
|
r-cost
|
public |
Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.
|
2025-04-22 |
|
r-cosmofns
|
public |
Package encapsulates standard expressions for distances, times, luminosities, and other quantities useful in observational cosmology, including molecular line observations. Currently coded for a flat universe only.
|
2025-04-22 |
|
r-cortools
|
public |
Designed for analysis of the results of a Genome Wide Association Study. Includes tools to pull lists of Chromosome number and SNP position below a certain significance threshold, refine gene networks (including data I/O for Cytoscape), and check SNP base pair changes.
|
2025-04-22 |
|
r-cortest
|
public |
There are 6 novel robust tests for equal correlation. They are all based on logistic regressions. U are proportion to different types of correlation in 6 methods. The ST1() is based on Pearson correlation. ST2() improved ST1() by using median absolute deviation. ST3() utilized type M correlation and ST4() used Spearman correlation. ST5() and ST6() used two different ways to combine ST3() and ST4(). We highly recommend ST5() according to the passage New Statistical Methods for Constructing Robust Differential Correlation Networks to characterize the interactions among microRNAs published in Scientific Reports.
|
2025-04-22 |
|
r-corset
|
public |
Set of methods to constrain numerical series and time series within arbitrary boundaries.
|
2025-04-22 |
|
r-corrsieve
|
public |
Statistical summary of Structure output.
|
2025-04-22 |
|
r-corrplot
|
public |
A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.
|
2025-04-22 |
|
r-corrmixed
|
public |
In clinical practice and research settings in medicine and the behavioral sciences, it is often of interest to quantify the correlation of a continuous endpoint that was repeatedly measured (e.g., test-retest correlations, ICC, etc.). This package allows for estimating these correlations based on mixed-effects models. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
|
2025-04-22 |
|
r-correlplot
|
public |
Correlplot contains diverse routines for the construction of different plots for representing correlation matrices.
|
2025-04-22 |
|
r-correctoverloadedpeaks
|
public |
Analyzes and modifies metabolomics raw data (generated using GC-APCI-MS, Gas Chromatography-Atmospheric Pressure Chemical Ionization-Mass Spectrometry) to correct overloaded signals, i.e. ion intensities exceeding detector saturation leading to a cut-off peak. Data in xcmsRaw format are accepted as input and mzXML files can be processed alternatively. Overloaded signals are detected automatically and modified using an Gaussian or Isotopic-Ratio approach, QC plots are generated and corrected data are stored within the original xcmsRaw or mzXML respectively to allow further processing.
|
2025-04-22 |
