Showing 9 of total 9 results (show query)
biodiverse
unmarked:Models for Data from Unmarked Animals
Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. References: Kellner et al. (2023) <doi:10.1111/2041-210X.14123>, Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Maintained by Ken Kellner. Last updated 14 days ago.
4 stars 13.02 score 652 scripts 12 dependents
bioc
Rgraphviz:Provides plotting capabilities for R graph objects
Interfaces R with the AT and T graphviz library for plotting R graph objects from the graph package.
Maintained by Kasper Daniel Hansen. Last updated 7 days ago.
graphandnetworkvisualizationzlib
11.51 score 1.2k scripts 107 dependentsbioc
GWASTools:Tools for Genome Wide Association Studies
Classes for storing very large GWAS data sets and annotation, and functions for GWAS data cleaning and analysis.
Maintained by Stephanie M. Gogarten. Last updated 15 days ago.
snpgeneticvariabilityqualitycontrolmicroarray
17 stars 10.67 score 396 scripts 5 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 dependentsbiodiverse
ubms:Bayesian Models for Data from Unmarked Animals using 'Stan'
Fit Bayesian hierarchical models of animal abundance and occurrence via the 'rstan' package, the R interface to the 'Stan' C++ library. Supported models include single-season occupancy, dynamic occupancy, and N-mixture abundance models. Covariates on model parameters are specified using a formula-based interface similar to package 'unmarked', while also allowing for estimation of random slope and intercept terms. References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Maintained by Ken Kellner. Last updated 1 months ago.
distance-samplinghierarchical-modelsn-mixture-modeloccupancystanopenblascpp
36 stars 7.90 score 73 scripts
murphymv
semEff:Automatic Calculation of Effects for Piecewise Structural Equation Models
Automatically calculate direct, indirect, and total effects for piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck, 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Maintained by Mark V. Murphy. Last updated 7 months ago.
12 stars 6.20 score 29 scripts
mini-pw
nplr:N-Parameter Logistic Regression
Performing drug response analyses and IC50 estimations using n-Parameter logistic regression. Can also be applied to proliferation analyses.
Maintained by Tymoteusz Kwiecinski. Last updated 1 months ago.
6.02 score 39 scripts 3 dependents
tobiaskley
quantspec:Quantile-Based Spectral Analysis of Time Series
Methods to determine, smooth and plot quantile periodograms for univariate and multivariate time series.
Maintained by Tobias Kley. Last updated 9 years ago.
10 stars 5.84 score 46 scripts 1 dependents
ajpete
scalpel:Processes Calcium Imaging Data
Identifies the locations of neurons, and estimates their calcium concentrations over time using the SCALPEL method proposed in Petersen, Ashley; Simon, Noah; Witten, Daniela. SCALPEL: Extracting neurons from calcium imaging data. Ann. Appl. Stat. 12 (2018), no. 4, 2430--2456. <doi:10.1214/18-AOAS1159>. <https://projecteuclid.org/euclid.aoas/1542078051>.
Maintained by Ashley Petersen. Last updated 4 years ago.
2.20 score 32 scripts