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[ Kaynak: r-cran-spatialreg  ]

Paket: r-cran-spatialreg (1.2-6+dfsg-1)

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GNU R spatial regression analysis

A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep', 'sphet' and 'spse'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross- sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) <doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras' (2015) <doi:10.18637/jss.v063.i18>; both of these articles include extensive lists of references. 'spatialreg' >= 1.1-* correspond to 'spdep' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-*, the functions will be made defunct in 'spdep'.

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r-cran-spatialreg indir

Tüm mevcut mimariler için indir
Mimari Paket Boyutu Kurulu Boyut Dosyalar
amd64 903,6 kB1.104,0 kB [dosya listesi]
arm64 902,9 kB1.144,0 kB [dosya listesi]
armel 903,9 kB1.143,0 kB [dosya listesi]
armhf 902,1 kB1.142,0 kB [dosya listesi]
i386 903,7 kB1.102,0 kB [dosya listesi]
mips64el 902,0 kB1.144,0 kB [dosya listesi]
mipsel 902,3 kB1.144,0 kB [dosya listesi]
ppc64el 904,7 kB1.144,0 kB [dosya listesi]
s390x 903,1 kB1.104,0 kB [dosya listesi]