Showing 12 of total 12 results (show query)
yrosseel
lavaan:Latent Variable Analysis
Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Maintained by Yves Rosseel. Last updated 3 days ago.
factor-analysisgrowth-curve-modelslatent-variablesmissing-datamultilevel-modelsmultivariate-analysispath-analysispsychometricsstatistical-modelingstructural-equation-modeling
454 stars 16.82 score 8.4k scripts 218 dependents
angeella
pARI:Permutation-Based All-Resolutions Inference
Computes the All-Resolution Inference method in the permutation framework, i.e., simultaneous lower confidence bounds for the number of true discoveries. <doi:10.1002/sim.9725>.
Maintained by Angela Andreella. Last updated 7 months ago.
aricluster-mapcopesdiscoveriesfmrifslpermutationselective-inferencesimultaneous-confidence-boundsspmopenblascpp
4 stars 4.78 score 9 scripts 1 dependents
chongwu-biostat
MiSPU:Microbiome Based Sum of Powered Score (MiSPU) Tests
There is an increasing interest in investigating how the compositions of microbial communities are associated with human health and disease. In this package, we present a novel global testing method called aMiSPU, that is highly adaptive and thus high powered across various scenarios, alleviating the issue with the choice of a phylogenetic distance. Our simulations and real data analysis demonstrated that aMiSPU test was often more powerful than several competing methods while correctly controlling type I error rates.
Maintained by Chong Wu. Last updated 7 years ago.
8 stars 4.66 score 19 scripts
bioc
ramr:Detection of Rare Aberrantly Methylated Regions in Array and NGS Data
ramr is an R package for detection of epimutations (i.e., infrequent aberrant DNA methylation events) in large data sets obtained by methylation profiling using array or high-throughput methylation sequencing. In addition, package provides functions to visualize found aberrantly methylated regions (AMRs), to generate sets of all possible regions to be used as reference sets for enrichment analysis, and to generate biologically relevant test data sets for performance evaluation of AMR/DMR search algorithms.
Maintained by Oleksii Nikolaienko. Last updated 23 days ago.
dnamethylationdifferentialmethylationepigeneticsmethylationarraymethylseqaberrant-methylationbioconductordna-methylationepimutationmethylation-microarraysnext-generation-sequencingcppopenmp
4.65 score 5 scriptsbioc
a4Core:Automated Affymetrix Array Analysis Core Package
Utility functions for the Automated Affymetrix Array Analysis set of packages.
Maintained by Laure Cougnaud. Last updated 5 months ago.
4.38 score 2 scripts 4 dependents
pbiecek
bgmm:Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling
Two partially supervised mixture modeling methods: soft-label and belief-based modeling are implemented. For completeness, we equipped the package also with the functionality of unsupervised, semi- and fully supervised mixture modeling. The package can be applied also to selection of the best-fitting from a set of models with different component numbers or constraints on their structures. For detailed introduction see: Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software <doi:10.18637/jss.v047.i03>.
Maintained by Przemyslaw Biecek. Last updated 2 years ago.
2 stars 4.22 score 55 scripts 1 dependents
niamhmimnagh
MultiNMix:Multi-Species N-Mixture (MNM) Models with 'nimble'
Simulating data and fitting multi-species N-mixture models using 'nimble'. Includes features for handling zero-inflation and temporal correlation, Bayesian inference, model diagnostics, parameter estimation, and predictive checks. Designed for ecological studies with zero-altered or time-series data. Mimnagh, N., Parnell, A., Prado, E., & Moral, R. A. (2022) <doi:10.1007/s10651-022-00542-7>. Royle, J. A. (2004) <doi:10.1111/j.0006-341X.2004.00142.x>.
Maintained by Niamh Mimnagh. Last updated 26 days ago.
1 stars 3.18 score
sth1402
GGMridge:Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation
Estimation of partial correlation matrix using ridge penalty followed by thresholding and reestimation. Under multivariate Gaussian assumption, the matrix constitutes an Gaussian graphical model (GGM).
Maintained by Shannon T. Holloway. Last updated 1 years ago.
1.89 score 13 scripts 2 dependents
christopherdhare
anominate:Alpha-NOMINATE Ideal Point Estimator
Provides functions to estimate and interpret the alpha-NOMINATE ideal point model developed in Carroll et al. (2013, <doi:10.1111/ajps.12029>). alpha-NOMINATE extends traditional spatial voting frameworks by allowing for a mixture of Gaussian and quadratic utility functions, providing flexibility in modeling political actors' preferences. The package uses Markov Chain Monte Carlo (MCMC) methods for parameter estimation, supporting robust inference about individuals' ideological positions and the shape of their utility functions. It also contains functions to simulate data from the model and to calculate the probability of a vote passing given the ideal points of the legislators/voters and the estimated location of the choice alternatives.
Maintained by Christopher Hare. Last updated 4 months ago.
1.20 score 16 scripts
cran
funLBM:Model-Based Co-Clustering of Functional Data
The funLBM algorithm allows to simultaneously cluster the rows and the columns of a data matrix where each entry of the matrix is a function or a time series.
Maintained by Charles Bouveyron. Last updated 3 years ago.
1.00 score