evolvability-package | Calculation of Evolvability Parameters |
Almer | Linear mixed model with correlated random effects structure |
Almer_boot | Parametric bootstrap on 'Almer' model fit |
Almer_SE | Linear mixed model for response variables with uncertainty |
Almer_sim | Simulate responses from 'Almer' fit |
conditionalG | Computing a conditional sub-matrix of G |
evolvability | Calculation of Evolvability Parameters |
evolvabilityBeta | Calculate evolvability parameters along a set of selection gradients |
evolvabilityBetaMCMC | Calculate posterior distribution of evolvability parameters from a set of selection gradients |
evolvabilityBetaMCMC2 | Calculate posterior distribution of evolvability parameters from a selection gradient estimated with uncertainty |
evolvabilityMeans | Calculate average evolvability parameters of a G-matrix |
evolvabilityMeansMCMC | Calculate posterior distribution of average evolvability parameters of a G-matrix |
GLS | Generalized least square |
macro_pred | Macroevolutionary predictions |
meanStdG | Mean standardize a variance matrix |
meanStdGMCMC | Mean standardize the posterior distribution of a G-matrix |
phylH | Phylogenetic heritability |
plot.rate_gls | Plot of rate_gls object |
plot.simulate_rate | Plot of simulate_rate object |
randomBeta | Generating selection gradients/vectors in random directions. |
rate_gls | Generalized least squares rate model |
rate_gls_boot | Bootstrap of the 'rate_gls' model fit |
rate_gls_sim | Simulate responses from 'rate_gls' fit |
round_and_format | Rounds and formats in the same function |
simulate_rate | Simulating evolutionary rate model |
summary.evolvabilityBeta | Summarizing evolvability parameters over a set of selection gradients |
summary.evolvabilityBetaMCMC | Summarizing posterior distribution of evolvability parameters over a set of selection gradients |