Print the summary of a cosinor model

Usage

# S3 method for cglmmSummary
print(x, digits = getOption("digits"), ...)

Arguments

x: An object of class cglmmSummary
digits: Controls the number of digits displayed in the summary output
...: Currently unused

Value

print returns x invisibly.

Examples


fit <- cglmm(vit_d ~ X + amp_acro(time,
  group = "X",
  n_components = 1,
  period = 12
), data = vitamind)
summary(fit)
#> 
#>  Conditional Model 
#> Raw model coefficients:
#>                estimate standard.error   lower.CI upper.CI    p.value    
#> (Intercept)  29.6897959      0.4583696 28.7914079 30.58818 < 2.22e-16 ***
#> X1            1.9018623      0.7919688  0.3496320  3.45409   0.016331 *  
#> X0:main_rrr1  0.9307876      0.6260656 -0.2962784  2.15785   0.137087    
#> X1:main_rrr1  6.5102900      0.9303406  4.6868560  8.33372 2.6011e-12 ***
#> X0:main_sss1  6.2009896      0.6701952  4.8874311  7.51455 < 2.22e-16 ***
#> X1:main_sss1  4.8184618      0.8963299  3.0616875  6.57524 7.6257e-08 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#> 
#> Transformed coefficients:
#>               estimate standard.error   lower.CI upper.CI    p.value    
#> (Intercept) 29.6897959      0.4583696 28.7914079 30.58818 < 2.22e-16 ***
#> [X=1]        1.9018623      0.7919688  0.3496320  3.45409   0.016331 *  
#> [X=0]:amp1   6.2704576      0.6696564  4.9579551  7.58296 < 2.22e-16 ***
#> [X=1]:amp1   8.0994722      1.1028357  5.9379540 10.26099 2.0696e-13 ***
#> [X=0]:acr1   1.4218056      0.1000725  1.2256670  1.61794 < 2.22e-16 ***
#> [X=1]:acr1   0.6371544      0.1360809  0.3704408  0.90387 2.8385e-06 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1