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 |