Showing 5 of total 5 results (show query)
ericmarcon
entropart:Entropy Partitioning to Measure Diversity
Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'entropart' provides functions to calculate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity. Estimation-bias corrections are available.
Maintained by Eric Marcon. Last updated 2 months ago.
biodiversitydiversityentropy-partitioningestimatormeasurespecies
9 stars 7.81 score 115 scripts 1 dependentsmattmar
rasterdiv:Diversity Indices for Numerical Matrices
Provides methods to calculate diversity indices on numerical matrices based on information theory, as described in Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039>, and Rocchini et al. (2021) <doi:10.1101/2021.01.23.427872>.
Maintained by Matteo Marcantonio. Last updated 1 months ago.
15 stars 7.60 score 44 scripts 1 dependentsbioc
QSutils:Quasispecies Diversity
Set of utility functions for viral quasispecies analysis with NGS data. Most functions are equally useful for metagenomic studies. There are three main types: (1) data manipulation and exploration—functions useful for converting reads to haplotypes and frequencies, repairing reads, intersecting strand haplotypes, and visualizing haplotype alignments. (2) diversity indices—functions to compute diversity and entropy, in which incidence, abundance, and functional indices are considered. (3) data simulation—functions useful for generating random viral quasispecies data.
Maintained by Mercedes Guerrero-Murillo. Last updated 5 months ago.
softwaregeneticsdnaseqgeneticvariabilitysequencingalignmentsequencematchingdataimport
5.56 score 8 scripts 1 dependentscran
MCPAN:Multiple Comparisons Using Normal Approximation
Multiple contrast tests and simultaneous confidence intervals based on normal approximation. With implementations for binomial proportions in a 2xk setting (risk difference and odds ratio), poly-3-adjusted tumour rates, biodiversity indices (multinomial data) and expected values under lognormal assumption. Approximative power calculation for multiple contrast tests of binomial and Gaussian data.
Maintained by Frank Schaarschmidt. Last updated 7 years ago.
1 stars 1.95 score 3 dependents