adding opinionated niche capabilities and helpers functions.
Packaged: 2022-07-13 03:12:21 UTC; thomasmock

Imports: commonmark, dplyr (>= 1.0.9), fontawesome (>= 0.3.0), ggplot2
Packaged: 2022-09-03 14:50:22 UTC; thomasmock

Packaged: 2022-11-04 21:22:59 UTC; thomasmock

Imports: commonmark, dplyr (>= 1.0.9), fontawesome (>= 0.4.0), ggplot2
Packaged: 2022-11-28 01:24:20 UTC; thomasmock

Title: Genome and Transcriptome Wide Association Study
Description: Quantitative trait loci mapping and genome wide association analysis are used to find candidate molecular marker or region associated with phenotype based on linkage analysis and linkage disequilibrium. Gene expression quantitative trait loci mapping is used to find candidate molecular marker or region associated with gene expression. In this package, we applied the method in Liu W. (2011) <doi:10.1007/s00122-011-1631-7> and Gusev A. (2016) <doi:10.1038/ng.3506> to genome and transcriptome wide association study, which is aimed at revealing the association relationship between phenotype and molecular markers, expression levels, molecular markers nested within different related expression effect and expression effect nested within different related molecular marker effect. F test based on full and reduced model are performed to obtain p value or likelihood ratio statistic. The best linear model can be obtained by stepwise regression analysis.

Description: Tools to make it easier to work with "tables" of grobs.
Collate: 'add-grob.r' 'add-rows-cols.r' 'add-space.r' 'grid.r'
'trim.r' 'filter.r' 'align.r' 'padding.r' 'z.r'

Description: Tools to make it easier to work with "tables" of 'grobs'.
Authors@R: person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre"))

Description: Tools to make it easier to work with "tables" of
'grobs'. The 'gtable' package defines a 'gtable' grob class that specifies a
grid along with a list of grobs and their placement in the grid. Further the
package makes it easy to manipulate and combine 'gtable' objects so that
complex compositions can be build up sequentially.
Suggests: covr, testthat, knitr, rmarkdown, ggplot2, profvis
'gtable.r' 'rbind-cbind.r' 'utils.r' 'trim.r' 'filter.r'