Mathematical software

momentuHMM
Referenced in 9 articles [sw21676]
include: 1) data pre-processing and visualization; 2) user-specified probability distributions for an unlimited ... most R users; 5) multiple imputation methods that account for measurement error and temporally-irregular ... package can be used for analyzing any type of data that is amenable to HMMs...

summarytools
Referenced in 3 articles [sw17754]
R package summarytools. Dataframe Summaries, Frequency Tables and Descriptive Stats with Flexible Output Formats. Built ... discrete data; 2) descr() gives all common central tendency statistics and measures of dispersion ... common properties of an object (its class, type, mode, attributes, etc.) and extends the base...

mnt
Referenced in 4 articles [sw39283]
R package mnt: Affine Invariant Tests of Multivariate Normality. Various affine invariant multivariate normality tests ... weighted L^2-statistics”. We implement new and time honoured L^2-type tests ... Secondly, we include the measures of multivariate skewness and kurtosis by Mardia, Koziol, Malkovich...

vip
Referenced in 1 article [sw35203]
importance plots from various types of machine learning models in R. Aside from some standard ... model- specific variable importance measures, this package also provides model- agnostic approaches that ... efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj...

EValue
Referenced in 4 articles [sw34331]
R package EValue: Sensitivity Analyses for Unmeasured Confounding or Selection Bias in Observational Studies ... specific treatment-outcome association, conditional on the measured covariates ... values for the relevant outcome types. Outcome types include risk ratios, odds ratio with common ... specified threshold of scientific importance; and (2) the minimum bias factor and confounding strength required...

Sincera
Referenced in 2 articles [sw23915]
cell transcriptome analysis illustrate the power to measure and understand cellular heterogeneity in complex biological ... identification of major cell types; 2) the identification of cell type specific gene signatures ... determination of driving forces of given cell types. We applied this pipeline ... pericyte, and fibroblast-like cell types, and identified cell type specific gene signatures, bioprocesses...

R-HINT-E
Referenced in 1 article [sw01464]
evaluation with a variety of signals, noise types, signal and noise locations, and reverberation. Here ... noise testing environment (R-HINT-E) that involves (1) measuring the impulse responses at microphones ... various dimensions and with various reverberation characteristics, (2) creating a corpus of sentences based...

momentuHMM