Title: Generalized Quantitative Genetics Data Analyses
Description: Two linear mixed model approaches: REML(restricted maximum likelihood) and MINQUE (minimum norm quadratic unbiased estimation) approaches and several resampling techniques are integrated for various quantitative genetics analyses. With these two types of approaches, various unbalanced data structures, missing data, and any irregular genetic  mating designs can be analyzed and statistically tested. This package also offers fast computations for many large data sets.

Author: Martha Lucia Corrales <martha.corrales@usa.edu.co> and
Depends: R (>= 3.2.1), ade4,FactoClass,FactoMineR
Description: Multivariate description of the state changes of a qualitative variable by
Correspondence Analysis and Clustering. See:
Correspondence analysis, with an extension towards nominal time series.
Journal of econometrics, 22(1-2), 169-189.
Analisis de datos longitudinales cualitativos con analisis de correspondencias y clasificacion.
Comunicaciones en Estadistica, 8(1), 11-32.
Packaged: 2016-09-09 11:58:50 UTC; UNcepardot

Description: Functions for making run charts and  basic Shewhart control
The main function, qic, creates run and control charts and has a
simple interface with a rich set of options to control data analysis
and plotting, including options for automatic data aggregation by
subgroups, easy analysis of before-and-after data, exclusion of one
or more data points from analysis, and splitting charts into
Missing values and empty subgroups are handled gracefully.

The main function, qic(), creates run and control charts and has a

Imports: lattice, latticeExtra, graphics, grDevices, stats

Imports: lattice, latticeExtra, graphics, grDevices, stats, ggplot2,

Imports: lattice, latticeExtra, graphics, grDevices, stats, scales,

Description: Functions for making run charts and basic Shewhart control

Description: Functions for making run charts
[Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>] and basic
Shewhart control charts [Mohammed, Worthington, Woodall (2008)
<doi:10.1136/qshc.2004.012047>] for measure and count data.