Goodness of fit measures
Calculate RMSE, MAPE, R^2 and adjusted R^2
cont_stats( x, which = c("all", "RMSE", "MAPE", "Rx2", "Rx2adj"), only_total = FALSE )
x |
Fitted |
which |
What to calculate. Options: "all", "RMSE", "MAPE", "Rx2", "Rx2adj". |
only_total |
If |
matrix with Goodness of fit measures
library(systemfit) data(ppine , package="systemfit") hg.formula <- hg ~ exp( h0 + h1*log(tht) + h2*tht^2 + h3*elev) dg.formula <- dg ~ exp( d0 + d1*log(dbh) + d2*hg + d3*cr) labels <- list( "height.growth", "diameter.growth" ) model <- list( hg.formula, dg.formula ) start.values <- c(h0=-0.5, h1=0.5, h2=-0.001, h3=0.0001, d0=-0.5, d1=0.009, d2=0.25, d3=0.005) model.sur <- nlsystemfit( "SUR", model, start.values, data=ppine, eqnlabels=labels ) eq_c <- as.character(c(hg.formula, dg.formula)) parl <- c(paste0("h", 0:3),paste0("d", 0:3)) res <- nmm(ppine, eq_c=eq_c, start_v=start.values, par_c=parl, eq_type = "cont", best_method = FALSE) cont_stats(res, which = "all")
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