Pacote para analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.

Compute and Visualize Bivariate Associations
person("Vonn", "Walter", email = "vwalter1@hmc.psu.edu", role = c("aut", "cre"))
Pearson correlation coefficients are commonly used to quantify the strength
of bivariate associations of genomic variables.  For example, correlations of gene-level
DNA copy number and gene expression measurements may be used to assess the impact of
DNA copy number changes on gene expression in tumor tissue.  MVisAGe enables users to
quickly compute and visualize the correlations in order to assess the effect of regional
genomic events such as changes in DNA copy number or DNA methylation level.

person("Vonn", "Walter", email = "vwalter1@pennstatehealth.psu.edu", role = c("aut", "cre"))
Pearson and Spearman correlation coefficients are commonly used to quantify the strength
of bivariate associations of genomic variables.  For example, correlations of gene-level
DNA copy number and gene expression measurements may be used to assess the impact of
DNA copy number changes on gene expression in tumor tissue.  MVisAGe enables users to
quickly compute and visualize the correlations in order to assess the effect of regional
genomic events such as changes in DNA copy number or DNA methylation level.

Pearson and Spearman correlation coefficients are commonly used to quantify the strength
of bivariate associations of genomic variables.  For example, correlations of gene-level
DNA copy number and gene expression measurements may be used to assess the impact of
DNA copy number changes on gene expression in tumor tissue.  'MVisAGe' enables users to
quickly compute and visualize the correlations in order to assess the effect of regional
genomic events such as changes in DNA copy number or DNA methylation level.  Please see
Walter V, Du Y, Danilova L, Hayward MC, Hayes DN, 2018. Cancer Research
<doi:10.1158/0008-5472.CAN-17-3464>.