soil: Soil Chemistry Properties Data

In mcglm: Multivariate Covariance Generalized Linear Models

Soil Chemistry Properties Data

Description

Soil chemistry properties measured on a regular grid with 10 x 25 points spaced by 5 meters.

• COORD.X - X coordinate.

• COORD.Y - Y coordinate.

• SAND - Sand portion of the sample.

• SILT - Silt portion of the sample.

• CLAY - Clay portion of the sample.

• PHWATER - Soil pH at water.

• CA - Calcium content.

• MG - Magnesium content.

• K - Potassio content.

Usage

data(soil)

Format

a data.frame with 250 records and 9 variables.

Source

Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.

Examples

library(mcglm)
library(Matrix)
data(soil, package="mcglm")
Z1 <- mc_id(soil)
# Linear predictor
form.ca <- CA ~ COORD.X*COORD.Y + SAND + SILT + CLAY + PHWATER
fit.ca <- mcglm(linear_pred = c(form.ca), matrix_pred = list(Z1),
               link = "log", variance = "tweedie", covariance = "inverse",
               power_fixed = TRUE, data = soil,
               control_algorith = list(max_iter = 1000, tuning = 0.1,
               verbose = FALSE, tol = 1e-03))

mcglm documentation built on Sept. 16, 2022, 1:06 a.m.