Showing 12 of total 12 results (show query)
paul-buerkner
brms:Bayesian Regression Models using 'Stan'
Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include both theory-driven and data-driven non-linear terms, auto-correlation structures, censoring and truncation, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their prior knowledge. Models can easily be evaluated and compared using several methods assessing posterior or prior predictions. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; Bürkner (2018) <doi:10.32614/RJ-2018-017>; Bürkner (2021) <doi:10.18637/jss.v100.i05>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Maintained by Paul-Christian Bürkner. Last updated 21 hours ago.
bayesian-inferencebrmsmultilevel-modelsstanstatistical-models
1.3k stars 16.62 score 13k scripts 35 dependents
projectmosaic
mosaic:Project MOSAIC Statistics and Mathematics Teaching Utilities
Data sets and utilities from Project MOSAIC (<http://www.mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Maintained by Randall Pruim. Last updated 1 years ago.
93 stars 13.32 score 7.2k scripts 7 dependents
bioc
affy:Methods for Affymetrix Oligonucleotide Arrays
The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
Maintained by Robert D. Shear. Last updated 3 months ago.
microarrayonechannelpreprocessing
11.12 score 2.5k scripts 98 dependentsbioc
oligo:Preprocessing tools for oligonucleotide arrays
A package to analyze oligonucleotide arrays (expression/SNP/tiling/exon) at probe-level. It currently supports Affymetrix (CEL files) and NimbleGen arrays (XYS files).
Maintained by Benilton Carvalho. Last updated 25 days ago.
microarrayonechanneltwochannelpreprocessingsnpdifferentialexpressionexonarraygeneexpressiondataimportzlib
3 stars 10.42 score 528 scripts 10 dependents
matloff
regtools:Regression and Classification Tools
Tools for linear, nonlinear and nonparametric regression and classification. Novel graphical methods for assessment of parametric models using nonparametric methods. One vs. All and All vs. All multiclass classification, optional class probabilities adjustment. Nonparametric regression (k-NN) for general dimension, local-linear option. Nonlinear regression with Eickert-White method for dealing with heteroscedasticity. Utilities for converting time series to rectangular form. Utilities for conversion between factors and indicator variables. Some code related to "Statistical Regression and Classification: from Linear Models to Machine Learning", N. Matloff, 2017, CRC, ISBN 9781498710916.
Maintained by Norm Matloff. Last updated 2 months ago.
127 stars 9.39 score 48 scripts 3 dependents
alenxav
bWGR:Bayesian Whole-Genome Regression
Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Maintained by Alencar Xavier. Last updated 4 months ago.
7 stars 4.24 score 16 scripts
haddonm
MQMF:Modelling and Quantitative Methods in Fisheries
Complements the book "Using R for Modelling and Quantitative Methods in Fisheries" ISBN 9780367469894, published in 2021 by Chapman & Hall in their "Using R series". There are numerous functions and data-sets that are used in the book's many practical examples.
Maintained by Malcolm Haddon. Last updated 2 years ago.
ecologyfisherieshaddonquantitative-methodsuncertainty
11 stars 4.14 score 25 scripts
giampmarra
GJRM:Generalised Joint Regression Modelling
Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.
Maintained by Giampiero Marra. Last updated 5 months ago.
4 stars 4.04 score 67 scripts 5 dependents
lbelzile
evt0:Mean of Order P, Peaks over Random Threshold Hill and High Quantile Estimates
The R package proposes extreme value index estimators for heavy tailed models by mean of order p <DOI:10.1016/j.csda.2012.07.019>, peaks over random threshold <DOI:10.57805/revstat.v4i3.37> and a bias-reduced estimator <DOI:10.1080/00949655.2010.547196>. The package also computes moment, generalised Hill <DOI:10.2307/3318416> and mixed moment estimates for the extreme value index. High quantiles and value at risk estimators based on these estimators are implemented.
Maintained by Leo Belzile. Last updated 1 years ago.
2.81 score 13 scripts
stevecondylios
mmr:Matrix Multiplication on Data.frames
Simple helpers for matrix multiplication on data.frames. These allow for more concise code during low level mathematical operations, and help ensure code is more easily read, understood, and serviced.
Maintained by Steve Condylios. Last updated 5 years ago.
2.70 score 7 scripts
