Description Usage Arguments Details Value References Examples
Calculates initial values and paramters for the IASA model, from survey data collectected with the questionnaire described by Bquero at al., 2018.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | GetDataIASA(data = NULL, sex.col = "sex", female.label = "female",
male.label = "male", sterilized.col = "sterilized",
sterilized.label = "yes", sterilized.ly.col = "sterilized_ly",
sterilized.ly.label = "yes", births.ly.col = "births_ly",
species3.col = "species3", species.label = "dog",
sex3.col = "sex2", fate.col = "fate", died.label = "died",
lost.label = "lost", acquisition.col = "acquisition",
acquired.ly.col = "acquired_ly", acquired.ly.label = "yes",
adopted.label = "adopted", bought.label = "bought",
acquisition.source.col = "acquisition_city",
acquired.sterilized.col = "acquired_sterilized",
destination.label = NULL, total.estimate = NULL, k1.scale = 5,
h1 = 1, N2.scale = 0.05, f2.scale = 0.9, fs2.scale = 0.1,
m2.scale = 0.95, ms2.scale = 0.05, b2.scale = 1.5,
df2.scale = 1.2, dm2.scale = 1.2, sf2.scale = 0.3,
sm2.scale = 0.3, k2.scale = 2, h2 = 0.5)
|
data |
|
sex.col |
name or index of the column with the *sex* variable. |
female.label |
string with the *female* category in |
male.label |
string with the *male* category in |
sterilized.col |
name or index of the column with the *sterilized* variable. |
sterilized.label |
string with the *sterilized* category (ex. yes) in |
sterilized.ly.col |
name or index of the column with *sterilized last year* variable. |
sterilized.ly.label |
string with the *sterilized during the last year* category (ex. yes) in |
births.ly.col |
name or index of the column with the *births during the last year* variable. |
species3.col |
name or index of the column with the *species* variable form the third questionnaire's section (animals that left the household). |
species.label |
string with the *species* category of interest (ex. dog) in |
sex3.col |
name or index of the column with the *sex* variable form the third questionnaire's section (animals that left the household). |
fate.col |
name or index of the column with the *fate* variable. |
died.label |
string with the *died* category in |
lost.label |
string with the *lost* category in |
acquisition.col |
name or index of the column with the *acquisition* variable. |
acquired.ly.col |
name or index of the column with the *acquisition during the last year* variable. |
acquired.ly.label |
string with the *acquisition during the last year* category (ex. yes) in |
adopted.label |
string with the *adopted* category in |
bought.label |
string with the *bought* category in |
acquisition.source.col |
name or index of the column with the *source* variable (ex. city). |
acquired.sterilized.col |
name or index of the column with the *sterilized when acquired* variable. |
destination.label |
string with the *destination* category (ex. city) in |
total.estimate |
number representing the estimated total population size. |
k1.scale |
scale to define the carrying capacity of the owned population as k1 = k.scale * total.estimate. |
h1 |
number representing the mean harem size in the owned population. |
N2.scale |
scale to define the unowned population size as N2 = N2.sclae * total.estimate. |
f2.scale |
scale to define the female unowned population size as f2 = f2.scale * f1. |
fs2.scale |
scale to define the sterilized female unowned population size as fs2 = fs2.scale * fs1. |
m2.scale |
scale to define the sterimlized male unowned population as m2 = m2.scale * m1. |
ms2.scale |
scale to define the sterilized male unowned population size as ms2 = ms2.scale * ms1. |
b2.scale |
scale to define the birth function of the unowned population as b2 = f2 \* b1 / f1 \* b2.scale. |
df2.scale |
scale to define the death rate of the female unowned population as df2 = df2.scale * df1. |
dm2.scale |
scale to define the death rate of the male unowned population as dm2 = dm2.scale * dm1. |
sf2.scale |
scale to define the sterilized female unowned population size as sf2 = sf2 = sf2.scale * sf1. |
sm2.scale |
scale to define the sterilized male unowned population size as sm2 = sm2.scale * sm1. |
k2.scale |
scale to define the carrying capacity of the unowned population as k2 = k2.scale * N2. |
h2 |
number representing the mean harem size in the unowned population. |
If column and category names in data
match arguments' defaults, the function call is simplified as in the example below.
list
with two vectors: init
(initial values) and pars
(parameters).
Baquero, O. S., Marconcin, S., Rocha, A., & Garcia, R. D. C. M. (2018). Companion animal demography and population management in Pinhais, Brazil. Preventive Veterinary Medicine.
http://oswaldosantos.github.io/capm
1 2 | data(dogs)
GetDataIASA(dogs, destination.label = "Pinhais", total.estimate = 50444)
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