Imports: MASS (>= 3.1-20), penalizedLDA (>= 1.0)
Description: Projection pursuit classification tree using LDA, Lr or PDA projection pursuit index

Title: Projection Pursuit Classification Tree Visualization
Description: Tools for exploring projection pursuit classification tree using LDA,

Description: Tools for exploring projection pursuit classification tree using

Depends: R (>= 2.10),gridExtra, ggplot2,partykit

Depends: R (>= 2.10), gridExtra, ggplot2, partykit

Depends: R (>= 2.10), gridExtra, ggplot2, partykit, Rcpp

Title: Efficient Mixed Model Analysis of Count Data in Large-Scale
Author: Shiquan Sun, Jiaqiang Zhu, Xiang Zhou
Description: An efficient tool designed for differential analysis of large-scale RNA sequencing (RNAseq) data and Bisulfite sequencing (BSseq) data in the presence of individual relatedness and population structure. 'PQLseq' first fits a Generalized Linear Mixed Model (GLMM) with adjusted covariates, predictor of interest and random effects to account for population structure and individual relatedness, and then performs Wald tests for each gene in RNAseq or site in BSseq.

Title: Conduct a Prospective or Retrospective Design Analysis
Description: An implementation of the "Design Analysis" proposed by
the evaluation of Power-Analysis with other inferential-risks as
Type-M error (i.e. Magnitude) and Type-S error (i.e. Sign). See also
Suggests: covr, devtools, ggplot2, knitr, rmarkdown, roxygen2,
Author: Claudio Zandonella Callegher [aut, cre]
Maintainer: Claudio Zandonella Callegher <claudiozandonella@gmail.com>

Title: Embedding and Clustering with Alignment for Spatial Datasets
Description: An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2022) <doi:10.1093/nar/gkac219>.
Imports: GiRaF, MASS, Matrix, mclust, methods, purrr, utils, S4Vectors,
RColorBrewer, Seurat, cowplot, scater, pbapply, patchwork,
ggthemes, dplyr, ggplot2, stats, DR.SC, scales, ggrastr, Rcpp
Packaged: 2022-06-21 03:12:50 UTC; Liuxianju