See "Model-Based Clustering and Outlier Detection with Missing Data" by

Title: Fit Mixture Regression Models for Left-Truncated and
Authors@R: c(person("Yuh-Chyuan", "Tsay", role=c("aut","cre"), email="yctsay@stat.sinica.edu.tw"),
Author: Yuh-Chyuan Tsay [aut, cre], Chen-Hsin Chen [aut], Ya-Chi Wu [aut], Cheng-Fang Horng [aut]
Description: Fit mixture regression models with nonsusceptibility/cure for left-truncated and interval-censored (LTIC) data (see Chen et al. (2013) <doi:10.1002/sim.5845>). This package also provides the nonparametric maximum likelihood estimator (NPMLE) for the survival/event curves with LTIC data.

Title: Mixture Regression Models for Left-Truncated and

Title: Analysis and Exploration of Mixed Microbial Genomic Samples
person("Michael", "Sovic", role = c("aut", "ccp", "cre"), email = "sovic.1@osu.edu", comment = c(ORCID = "0000-0002-8556-3704")),
person("Francesca", "Savona", role = c("res")),
person("Zuzana", "Bohrerova", role = c("res", "fnd")),
Description: Tool for exploring DNA and amino acid variation and inferring the presence of target lineages from microbial high-throughput genomic DNA samples that potentially contain mixtures of variants/lineages. MixviR was originally created to help analyze environmental SARS-CoV-2/Covid-19 samples from environmental sources such as wastewater or dust, but can be applied to any microbial group. Inputs include reference genome information in commonly-used file formats (fasta, bed) and one or more variant call format (VCF) files, which can be generated with programs such as the Genome Analysis Toolkit or bcftools. See DePristo et al (2011) <doi:10.1038/ng.806> and Danecek et al (2021) <doi:10.1093/gigascience/giab008> for these tools, respectively. Available outputs include a table of mutations observed in the sample(s), estimates of proportions of target lineages in the sample(s), and an R Shiny dashboard to interactively explore the data.
Imports: Biostrings, dplyr, DT, ggplot2 (>= 3.1.0), glue, httr,
lubridate, magrittr, plotly (>= 4.9.4), readr (>= 2.0.0),
Author: Michael Sovic [aut, ccp, cre] (<https://orcid.org/0000-0002-8556-3704>),