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Print the summary of a cosinor model

Source: R/summary.R
print.cglmmSummary.Rd

Print the summary of a cosinor model

Usage

# S3 method for class '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)  29.6897986      0.4583696 28.7914106 30.58819 < 2.22e-16 ***
#> X1            1.9018605      0.7919688  0.3496302  3.45409   0.016331 *  
#> X0:main_rrr1  0.9307837      0.6260656 -0.2962822  2.15785   0.137089    
#> X1:main_rrr1  6.5102912      0.9303406  4.6868572  8.33373 2.6010e-12 ***
#> X0:main_sss1  6.2009927      0.6701952  4.8874342  7.51455 < 2.22e-16 ***
#> X1:main_sss1  4.8184563      0.8963299  3.0616821  6.57523 7.6259e-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) 29.68979858     0.45836964 28.79141059 30.58819 < 2.22e-16 ***
#> [X=1]        1.90186054     0.79196879  0.34963023  3.45409   0.016331 *  
#> [X=0]:amp1   6.27046001     0.66965643  4.95795753  7.58296 < 2.22e-16 ***
#> [X=1]:amp1   8.09946996     0.89570579  6.34391887  9.85502 < 2.22e-16 ***
#> [X=0]:acr1   1.42180626     0.09993555  1.22593618  1.61768 < 2.22e-16 ***
#> [X=1]:acr1   0.63715378     0.11493856  0.41187833  0.86243  2.966e-08 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1