Showing 10 of total 10 results (show query)
fishr-core-team
FSA:Simple Fisheries Stock Assessment Methods
A variety of simple fish stock assessment methods.
Maintained by Derek H. Ogle. Last updated 2 months ago.
fishfisheriesfisheries-managementfisheries-stock-assessmentpopulation-dynamicsstock-assessment
69 stars 11.16 score 1.7k scripts 6 dependents
bioc
edge:Extraction of Differential Gene Expression
The edge package implements methods for carrying out differential expression analyses of genome-wide gene expression studies. Significance testing using the optimal discovery procedure and generalized likelihood ratio tests (equivalent to F-tests and t-tests) are implemented for general study designs. Special functions are available to facilitate the analysis of common study designs, including time course experiments. Other packages such as sva and qvalue are integrated in edge to provide a wide range of tools for gene expression analysis.
Maintained by John D. Storey. Last updated 5 months ago.
multiplecomparisondifferentialexpressiontimecourseregressiongeneexpressiondataimport
21 stars 7.77 score 62 scripts
sfcheung
semlrtp:Likelihood Ratio Test P-Values for Structural Equation Models
Computes likelihood ratio test (LRT) p-values for free parameters in a structural equation model. Currently supports models fitted by the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>.
Maintained by Shu Fai Cheung. Last updated 2 months ago.
hypothesis-testinglavaanstructural-equation-modeling
4.98 score 24 scripts
snoweye
MixfMRI:Mixture fMRI Clustering Analysis
Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2023) <doi:10.1002/hbm.26425>) include 2D and 3D clustering analyses (for p-values with voxel locations) and segmentation analyses (for p-values alone) for fMRI data where p-values indicate significant level of activation responding to stimulate of interesting. The analyses are mainly identifying active voxel/signal associated with normal brain behaviors. Analysis pipelines (R scripts) utilizing this package (see examples in 'inst/workflow/') is also implemented with high performance techniques.
Maintained by Wei-Chen Chen. Last updated 5 months ago.
2 stars 4.26 score 18 scripts
mlthom
cogirt:Cognitive Testing Using Item Response Theory
Psychometrically analyze latent individual differences related to tasks, interventions, or maturational/aging effects in the context of experimental or longitudinal cognitive research using methods first described by Thomas et al. (2020) <doi:10.1177/0013164420919898>.
Maintained by Michael Thomas. Last updated 2 months ago.
4.00 score 2 scripts
pgprojects
IFP:Identifying Functional Polymorphisms
A suite for identifying causal models using relative concordances and identifying causal polymorphisms in case-control genetic association data, especially with large controls re-sequenced data.
Maintained by Leeyoung Park. Last updated 4 years ago.
2.18 score 15 scripts
cseljatib
datana:Datasets and Functions to Accompany Analisis De Datos Con R
Datasets and functions to accompany the book 'Analisis de datos con el programa estadistico R: una introduccion aplicada' by Salas-Eljatib (2021, ISBN: 9789566086109). The package helps carry out data management, exploratory analyses, and model fitting.
Maintained by Christian Salas-Eljatib. Last updated 3 days ago.
1.48 score 1 scripts
rabilon
merror:Accuracy and Precision of Measurements
N>=3 methods are used to measure each of n items. The data are used to estimate simultaneously systematic error (bias) and random error (imprecision). Observed measurements for each method or device are assumed to be linear functions of the unknown true values and the errors are assumed normally distributed. Pairwise calibration curves and plots can be easily generated. Unlike the 'ncb.od' function, the 'omx' function builds a one-factor measurement error model using 'OpenMx' and allows missing values, uses full information maximum likelihood to estimate parameters, and provides both likelihood-based and bootstrapped confidence intervals for all parameters, in addition to Wald-type intervals.
Maintained by Richard A. Bilonick. Last updated 2 years ago.
1.23 score 17 scripts
cran
clikcorr:Censoring Data and Likelihood-Based Correlation Estimation
A profile likelihood based method of estimation and inference on the correlation coefficient of bivariate data with different types of censoring and missingness.
Maintained by Yanming Li. Last updated 9 years ago.
1.00 score