Dyadic Mixed Model for Pedigree Data
Convert a vector from character to decimal numbers
Condense an object of type dmmarray to an object of type dmm
Condense an object of type dmmblockarray to an object of type dmm
Make summary tables of (co)variance component estimates sorted into cl...
Functions internal to dmm
Dyadic mixed model analysis for pedigree data
Fit a dyadic mixed model to pedigree data
Print method for genetic parameters contained in an object of class `d...
Generic function for printing genetic parameters contained in an objec...
Compute response to selection, given phenotypic selection differential...
Make summary tables of genetic parameters for a dmm object
Count the number of observations in a dataframe or an mdf object for...
Generates a list of vectors containing sets of variance component name...
Construct an object of class dmm from user-supplied data
Prepare a dataframe for use with dmm function
Checks that the Id, SId, and DId columns of a dataframe are valid for ...
Renumbers the Id, SId, and DId columns of a dataframe
Plot residuals from fitting dyadic model
Print method for object of class csummary.dmm.
Print method for a dmm() fitted model object.
Print method for object of class gresponse.dmm.
Print method for object of class gsummary.dmm.
Print method for an object of class summary.dmm.
Make summary tables of (co)variance component estimates and fixed effe...
Summary method for object of class gresponse.dmm.
Convert a vector from factor to numeric
Convert warcolak data file to format required for a dataframe for `d...
Dyadic mixed model analysis with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects. Method documented in dmmOverview.pdf; dmm is an implementation of dispersion mean model described by Searle et al. (1992) "Variance Components", Wiley, NY.